mirror of
https://github.com/ollama/ollama.git
synced 2026-07-05 15:27:25 +00:00
* broad lint fixes to sidestep CI scope glitch * runner: Remove CGO engines, use llama-server exclusively for GGML models Remove the vendored GGML and llama.cpp backend, CGO runner, Go model implementations, and sample. llama-server (built from upstream llama.cpp via FetchContent) is now the sole inference engine for GGUF-based models. (Safetensor based models continue to run on the new MLX engine.) This allows us to more rapidly pick up new capabilities and fixes from llama.cpp as they come out. On windows this now requires recent AMD driver versions to support ROCm v7 as llama.cpp currently does not support building against v6. * llama/compat: load Ollama-format GGUFs in llama-server Squashed from upstream/jmorganca/llama-compat on 2026-04-29. Source tip:0c33775d37. Original source commits: -25223160dllama/compat: add in-memory shim so llama-server can load Ollama-format GGUFs -7449b539allm,server: route Ollama-format gemma3 blobs through llama/compat -436f2e2b1llama/compat: make patch-apply idempotent -8c2c9d4c8llama/compat: extend gemma3 handler to cover 1B and 270M blobs -021389f7bllama/compat: shrink clip.cpp injection from 18 lines to 1 -61b367ec2llama/compat: shrink patch to pure call-site hooks (34 -> 20 lines) -36049361cllama/compat: simplify shim (gemma3-tested) -8fa664865llama/compat: add qwen35moe text handler -db0c74530llama/compat: add qwen35moe vision (clip) support -2a388da77llama/compat: split shared infra into a util TU -9a69a17dcllama/compat: document non-public API dependencies -d0f38a915llama/compat: add gpt-oss and lfm2 handlers -086071822llama/compat: add mistral3 text handler (vision TODO) -63bde9ff7llama/compat: add mistral3 vision (clip) support -3a57b89d5llama/compat: apply LLaMA RoPE permute to mistral3 vision Q/K -99cb87439llama/compat: add qwen35, gemma4, deepseek-ocr handlers -2c7850dballama/compat: add nemotron_h_moe handler (latent FFN + MTP skip) -9e3b54225llama/compat: add llama4 text + clip handlers -034fee349llama/compat: add gemma4 clip handler (gemma4v projector) -9945c5a93server: remove dhiltgen/* compat redirect table -5d4539101llama/compat: rewrite gemma4 tokenizer model to BPE -7e0765327llama/compat: add glm-ocr text handler + text-loader load-op hook -f1bd1a25allama/compat: add glm-ocr clip handler (glm4v projector) -4b5cf3420llama/compat: collapse text-loader hook back to one new patch line -eb4ecf4fcllama/compat: extend gemma4 clip handler to gemma4a (audio) -a23a5e76fllama/compat: fix gemma4a per-block norm tensor mapping -cd2dcaff4llama/compat: add embeddinggemma handler -1ce8a6b26llama/compat: add qwen3-vl + qwen2.5-vl handlers -fd98ffa1ellama/compat: add gemma3n + glm4moelite handlers -cc7bdf0bcllama/compat: handle null buft in maybe_load_tensor -0c33775d3llama/compat: disable mmap when load_op transforms text-side tensors * refine implementation * ci: fix windows MLX build * ci: fix windows llama-server build * ci: fix windows rocm build * ci: windows mlx tuning Shorten long-tail on build, and get OllamaSetup.exe back under 2g limit * ci: fix windows dependencies * win: fix dependency gathering * disable openmp * win: arm64 cross-compile build also DRY out CI steps * scheduler improvements * ci: improvements from #15982 * win: favor ninja for faster developer builds * win: fix build * win: fix arm64 cross-compile * win: avoid spaces in compiler path * misc discovery fixes, and bos handling * lint fixes * win: fix arm cross-compile build/CI bugs * llama.cpp update * win: handle multiple CRT dirs * vulkan: add windows iGPU detection * fix creation bugs for patched models, other refactoring work * tune batch size for better performance * ci and lint fixes * fix repeat_last_n bug * build: revamp build for better developer UX * amd, sampler, qwen3next fixes * version bump * fix mlx build * revamp GPU discovery Scanning the output of llama-server is turning out to be too error prone across llama.cpp updates, so this switches to a thin dynamic library load against the bundled GGML libraries so more details can be gathered from the API. * version bump * missing file * ci: fix cache miss on rocm build * refine vulkan dep handling * fix ps reporting bug on full GPU load * improve cmake wiring for customized local builds * version bump * docker build arg cleanup * improve windows exit error logs * fix community gemma4 support and ci flakes * fix mlx unit test * tighten up ps logic to avoid double counting fit log lines * version bump * fix ps view for full gpu layer offload * add MTP wiring for llama-server and create with GGUFs * pick best template by capabilities * version bump * ci: harden apt repos * remove unused cpu core discovery * adjust batch default logic to reduce OOMs * support larger tool calls * fix audio support, template show * qwen35 mtp patch support * flesh out dtypes * rocm deps * version bump * lint fix * block broken gfx1150 on windows * fix qwen3.5 moe mtp tensors in patch * mmproj oom fallback and vulkan on by default * qwen MTP compat fix * version bump * ci: fix WoA cross-compile * ci: workaround ui tool in cross-compile * version bump * win: enable OpenMP for CPU builds * build: improve developer UX * ci: windows path workaround for CPU build * win: fix WoA dependencies * win: fix large offset reads for mmproj patched loads * version bump * fix vulkan dup detection * add OLLAMA_IGPU_ENABLE and largely disable iGPUs by default * opt-in MTP, win large offset, integraton fixes * fix unit test scheduler interaction hang * fix multi-gpu filtering * version bump * review comments * fix thinking level * fix linux rocm ordering and granite 3.3 template * version bump * ci fix - non-shallow MLX checkout * bypass linux sysfs unit test on windows --------- Co-authored-by: jmorganca <jmorganca@gmail.com>
457 lines
13 KiB
Go
457 lines
13 KiB
Go
package tokenizer
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import (
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"encoding/json"
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"fmt"
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"regexp"
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"sort"
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"strings"
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)
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// TokenizerConfig holds optional configuration data that can be passed to LoadFromBytesWithConfig.
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type TokenizerConfig struct {
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TokenizerConfigJSON []byte // tokenizer_config.json content
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GenerationConfigJSON []byte // generation_config.json content
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SpecialTokensMapJSON []byte // special_tokens_map.json content
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ConfigJSON []byte // config.json content
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}
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// LoadFromBytes loads a tokenizer from tokenizer.json bytes.
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// This is useful when loading from blob storage where the file content is already in memory.
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// Note: This won't load special token config from companion files. Use LoadFromBytesWithConfig
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// to provide tokenizer_config.json data for proper PAD/EOS token loading.
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func LoadFromBytes(data []byte) (*Tokenizer, error) {
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return loadFromTokenizerJSON(data)
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}
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// LoadFromBytesWithConfig loads a tokenizer from tokenizer.json bytes with additional config files.
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// This is useful when loading from blob storage where companion config files are also blobs.
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func LoadFromBytesWithConfig(data []byte, config *TokenizerConfig) (*Tokenizer, error) {
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t, err := loadFromTokenizerJSON(data)
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if err != nil {
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return nil, err
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}
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if config == nil {
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return t, nil
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}
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// Apply special token configs from provided data
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loadSpecialTokenConfigFromBytes(t, config)
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return t, nil
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}
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// loadFromTokenizerJSON parses tokenizer.json content from bytes.
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func loadFromTokenizerJSON(data []byte) (*Tokenizer, error) {
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var raw struct {
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Model struct {
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Type string `json:"type"` // "BPE"
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Vocab map[string]int32 `json:"vocab"`
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Merges json.RawMessage `json:"merges"` // Can be []string or [][]string (BPE only)
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} `json:"model"`
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PreTokenizer json.RawMessage `json:"pre_tokenizer"`
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Decoder json.RawMessage `json:"decoder"`
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AddedTokens []struct {
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ID int32 `json:"id"`
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Content string `json:"content"`
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Special bool `json:"special"`
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} `json:"added_tokens"`
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}
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if err := json.Unmarshal(data, &raw); err != nil {
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return nil, fmt.Errorf("failed to parse tokenizer: %w", err)
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}
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// Covers SentencePiece and BPE models
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if raw.Model.Type != "BPE" {
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return nil, fmt.Errorf("unsupported tokenizer type: %s", raw.Model.Type)
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}
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// Parse merges - can be []string (Llama) or [][]string (GPT-OSS).
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var mergesStrings []string
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if raw.Model.Merges != nil {
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var mergesArrays [][]string
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if err := json.Unmarshal(raw.Model.Merges, &mergesStrings); err != nil {
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// Try array of arrays format
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if err := json.Unmarshal(raw.Model.Merges, &mergesArrays); err != nil {
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return nil, fmt.Errorf("failed to parse merges: %w", err)
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}
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// Convert [][]string to []string
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mergesStrings = make([]string, len(mergesArrays))
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for i, pair := range mergesArrays {
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if len(pair) != 2 {
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return nil, fmt.Errorf("failed to parse merges: expected merge pair of length 2, got %d", len(pair))
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}
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mergesStrings[i] = pair[0] + " " + pair[1]
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}
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}
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}
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// Build tokenizer
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t := &Tokenizer{
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vocab: &Vocabulary{
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Values: make([]string, len(raw.Model.Vocab)),
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Reverse: raw.Model.Vocab,
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Merges: make(map[string]int, len(mergesStrings)),
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BOS: -1,
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PAD: -1,
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},
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specialTokens: make(map[string]int32),
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}
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// Build values array
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for token, id := range raw.Model.Vocab {
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if int(id) >= len(t.vocab.Values) {
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newValues := make([]string, id+1)
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copy(newValues, t.vocab.Values)
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t.vocab.Values = newValues
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}
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t.vocab.Values[id] = token
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}
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// Build merges map
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for i, merge := range mergesStrings {
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t.vocab.Merges[merge] = i
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}
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// Add all added_tokens to vocabulary and special tokens map.
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// HuggingFace treats ALL added_tokens as special for tokenization purposes -
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// they bypass BPE and get their own token ID. The "special" flag just indicates
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// if it's a "truly special" token like BOS/EOS/PAD, but for tokenization we need
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// to treat all added_tokens as special to match HuggingFace behavior.
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for _, tok := range raw.AddedTokens {
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if int(tok.ID) >= len(t.vocab.Values) {
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newValues := make([]string, tok.ID+1)
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copy(newValues, t.vocab.Values)
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t.vocab.Values = newValues
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}
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t.vocab.Values[tok.ID] = tok.Content
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t.specialTokens[tok.Content] = tok.ID // Add ALL added_tokens to special tokens
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}
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// Precompute byte token IDs for <0xNN> fallback
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initByteTokens(t)
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// Determine tokenizer type
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switch {
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case detectSentencePiece(raw.Decoder):
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t.typ = TokenizerSentencePiece
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default:
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t.typ = TokenizerBPE
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}
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// Parse and compile pretokenizer pattern (BPE only - SentencePiece doesn't use pretokenizer)
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if t.typ == TokenizerBPE {
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pattern := extractPretokenizer(raw.PreTokenizer)
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if pattern == "" {
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pattern = `'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+`
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}
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re, err := regexp.Compile(rewritePatternForRE2(pattern))
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if err != nil {
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return nil, fmt.Errorf("failed to compile pretokenizer regex %q: %w", pattern, err)
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}
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t.pretokenizer = re
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}
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cacheSortedSpecialTokens(t)
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return t, nil
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}
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func cacheSortedSpecialTokens(t *Tokenizer) {
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if len(t.specialTokens) == 0 {
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t.sortedSpecialTokens = nil
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return
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}
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tokens := make([]string, 0, len(t.specialTokens))
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for tok := range t.specialTokens {
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tokens = append(tokens, tok)
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}
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sort.Slice(tokens, func(i, j int) bool {
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return len(tokens[i]) > len(tokens[j])
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})
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t.sortedSpecialTokens = tokens
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}
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type specialTokenConfigData struct {
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tokenizerConfigJSON []byte
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generationConfigJSON []byte
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specialTokensMapJSON []byte
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configJSON []byte
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}
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func applySpecialTokenConfig(t *Tokenizer, config specialTokenConfigData) {
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parseTokenIDs := func(v interface{}) []int32 {
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switch val := v.(type) {
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case float64:
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return []int32{int32(val)}
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case []interface{}:
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ids := make([]int32, 0, len(val))
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for _, id := range val {
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if f, ok := id.(float64); ok {
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ids = append(ids, int32(f))
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}
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}
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return ids
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}
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return nil
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}
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// Priority 1: generation_config.json
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if len(config.generationConfigJSON) > 0 {
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var genConfig struct {
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EOSTokenID interface{} `json:"eos_token_id"`
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BOSTokenID interface{} `json:"bos_token_id"`
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}
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if err := json.Unmarshal(config.generationConfigJSON, &genConfig); err == nil {
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if ids := parseTokenIDs(genConfig.EOSTokenID); len(ids) > 0 {
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t.vocab.EOS = ids
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}
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if ids := parseTokenIDs(genConfig.BOSTokenID); len(ids) > 0 {
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t.vocab.BOS = ids[0]
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}
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}
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}
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// Priority 2: config.json
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if len(config.configJSON) > 0 && (len(t.vocab.EOS) == 0 || t.vocab.BOS < 0) {
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var modelConfig struct {
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EOSTokenID interface{} `json:"eos_token_id"`
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BOSTokenID interface{} `json:"bos_token_id"`
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}
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if err := json.Unmarshal(config.configJSON, &modelConfig); err == nil {
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if len(t.vocab.EOS) == 0 {
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if ids := parseTokenIDs(modelConfig.EOSTokenID); len(ids) > 0 {
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t.vocab.EOS = ids
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}
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}
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if t.vocab.BOS < 0 {
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if ids := parseTokenIDs(modelConfig.BOSTokenID); len(ids) > 0 {
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t.vocab.BOS = ids[0]
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}
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}
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}
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}
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// Priority 3: tokenizer_config.json
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if len(config.tokenizerConfigJSON) > 0 {
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var tokConfig struct {
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BOSToken interface{} `json:"bos_token"`
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EOSToken interface{} `json:"eos_token"`
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PADToken interface{} `json:"pad_token"`
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AddBOSToken *bool `json:"add_bos_token"`
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AddEOSToken *bool `json:"add_eos_token"`
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}
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if err := json.Unmarshal(config.tokenizerConfigJSON, &tokConfig); err == nil {
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if t.vocab.BOS < 0 {
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if bosStr := extractTokenString(tokConfig.BOSToken); bosStr != "" {
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if id, ok := t.specialTokens[bosStr]; ok {
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t.vocab.BOS = id
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}
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}
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}
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if len(t.vocab.EOS) == 0 {
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if eosStr := extractTokenString(tokConfig.EOSToken); eosStr != "" {
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if id, ok := t.specialTokens[eosStr]; ok {
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t.vocab.EOS = []int32{id}
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}
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}
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}
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if t.vocab.PAD < 0 {
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if padStr := extractTokenString(tokConfig.PADToken); padStr != "" {
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if id, ok := t.specialTokens[padStr]; ok {
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t.vocab.PAD = id
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}
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}
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}
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if tokConfig.AddBOSToken != nil {
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t.vocab.AddBOS = *tokConfig.AddBOSToken
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}
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if tokConfig.AddEOSToken != nil {
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t.vocab.AddEOS = *tokConfig.AddEOSToken
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}
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}
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}
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// Priority 4: special_tokens_map.json
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if len(config.specialTokensMapJSON) > 0 {
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var tokensMap map[string]interface{}
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if err := json.Unmarshal(config.specialTokensMapJSON, &tokensMap); err == nil {
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if t.vocab.BOS < 0 {
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if bosStr := extractTokenString(tokensMap["bos_token"]); bosStr != "" {
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if id, ok := t.specialTokens[bosStr]; ok {
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t.vocab.BOS = id
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}
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}
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}
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if len(t.vocab.EOS) == 0 {
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if eosStr := extractTokenString(tokensMap["eos_token"]); eosStr != "" {
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if id, ok := t.specialTokens[eosStr]; ok {
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t.vocab.EOS = []int32{id}
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}
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}
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}
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if t.vocab.PAD < 0 {
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if padStr := extractTokenString(tokensMap["pad_token"]); padStr != "" {
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if id, ok := t.specialTokens[padStr]; ok {
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t.vocab.PAD = id
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}
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}
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}
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}
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}
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}
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// extractTokenString extracts the token string from various formats used in HuggingFace configs.
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// Tokens can be represented as:
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// - string: "token"
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// - object: {"content": "token", ...}
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func extractTokenString(v interface{}) string {
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if v == nil {
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return ""
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}
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// Direct string
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if s, ok := v.(string); ok {
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return s
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}
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// Object with content field
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if m, ok := v.(map[string]interface{}); ok {
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if content, ok := m["content"].(string); ok {
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return content
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}
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}
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return ""
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}
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// rewritePatternForRE2 rewrites HuggingFace pretokenizer regex patterns to be
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// compatible with Go's regexp package (RE2). HuggingFace patterns use PCRE features:
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// - (?!\S) negative lookahead - RE2 doesn't support this
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// - (?i:...) inline case-insensitive groups - RE2 doesn't support this
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//
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// We replace \s+(?!\S)|\s+ with \s+ and fix whitespace boundaries in encodeWithRegex().
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// The lookahead version splits "a b" into ["a", " ", " b"] (space prepended to word).
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// Simple \s+ would give ["a", " ", "b"]. We post-process to match Python's behavior.
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func rewritePatternForRE2(pattern string) string {
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// Replace lookahead pattern with simple \s+ - we fix boundaries in encodeWithRegex()
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pattern = strings.ReplaceAll(pattern, `\s+(?!\S)|\s+`, `\s+`)
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// Handle the pattern when it appears with a ? suffix (optional contractions in GPT-4o style)
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// IMPORTANT: Must be done before the non-optional version to avoid partial replacement
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pattern = strings.ReplaceAll(pattern,
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`(?i:'s|'t|'re|'ve|'m|'ll|'d)?`,
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`(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])?`)
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// Expand case-insensitive contraction pattern to explicit alternations
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// (?i:'s|'t|'re|'ve|'m|'ll|'d) -> '[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD]
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pattern = strings.ReplaceAll(pattern,
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`(?i:'s|'t|'re|'ve|'m|'ll|'d)`,
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`(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])`)
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return pattern
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}
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// loadSpecialTokenConfigFromBytes loads special token configuration from byte slices.
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func loadSpecialTokenConfigFromBytes(t *Tokenizer, config *TokenizerConfig) {
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applySpecialTokenConfig(t, specialTokenConfigData{
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tokenizerConfigJSON: config.TokenizerConfigJSON,
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generationConfigJSON: config.GenerationConfigJSON,
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specialTokensMapJSON: config.SpecialTokensMapJSON,
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configJSON: config.ConfigJSON,
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})
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}
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// detectSentencePiece checks if the decoder uses SentencePiece-style (▁ for spaces)
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// vs GPT-2 byte-level encoding
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func detectSentencePiece(data json.RawMessage) bool {
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if data == nil {
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return false
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}
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// Check for Sequence decoder with Replace step (SentencePiece style)
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var seq struct {
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Type string `json:"type"`
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Decoders []struct {
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Type string `json:"type"`
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Pattern struct {
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String string `json:"String"`
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} `json:"pattern"`
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} `json:"decoders"`
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}
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|
if err := json.Unmarshal(data, &seq); err == nil {
|
|
if seq.Type == "Sequence" {
|
|
for _, dec := range seq.Decoders {
|
|
// Look for Replace decoder that converts ▁ to space
|
|
if dec.Type == "Replace" && dec.Pattern.String == "▁" {
|
|
return true
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
// Check for direct ByteLevel decoder (GPT-2 style)
|
|
var simple struct {
|
|
Type string `json:"type"`
|
|
}
|
|
if err := json.Unmarshal(data, &simple); err == nil {
|
|
if simple.Type == "ByteLevel" {
|
|
return false
|
|
}
|
|
}
|
|
|
|
return false
|
|
}
|
|
|
|
// initByteTokens precomputes byte token IDs for <0xNN> fallback encoding
|
|
func initByteTokens(t *Tokenizer) {
|
|
for i := range t.vocab.byteTokens {
|
|
t.vocab.byteTokens[i] = -1
|
|
}
|
|
for b := range 256 {
|
|
token := fmt.Sprintf("<0x%02X>", b)
|
|
if id, ok := t.vocab.Reverse[token]; ok {
|
|
t.vocab.byteTokens[b] = id
|
|
}
|
|
}
|
|
}
|
|
|
|
// extractPretokenizer extracts the regex pattern from the pre_tokenizer config
|
|
func extractPretokenizer(data json.RawMessage) string {
|
|
if data == nil {
|
|
return ""
|
|
}
|
|
|
|
// Try to parse as a single Split pretokenizer
|
|
var single struct {
|
|
Type string `json:"type"`
|
|
Pattern struct {
|
|
Regex string `json:"Regex"`
|
|
} `json:"pattern"`
|
|
}
|
|
if err := json.Unmarshal(data, &single); err == nil && single.Pattern.Regex != "" {
|
|
return single.Pattern.Regex
|
|
}
|
|
|
|
// Try to parse as Sequence of pretokenizers - use first Split pattern
|
|
var seq struct {
|
|
Type string `json:"type"`
|
|
Pretokenizers []struct {
|
|
Type string `json:"type"`
|
|
Pattern struct {
|
|
Regex string `json:"Regex"`
|
|
} `json:"pattern"`
|
|
} `json:"pretokenizers"`
|
|
}
|
|
if err := json.Unmarshal(data, &seq); err == nil && seq.Type == "Sequence" {
|
|
for _, pt := range seq.Pretokenizers {
|
|
if pt.Type == "Split" && pt.Pattern.Regex != "" {
|
|
if _, err := regexp.Compile(rewritePatternForRE2(pt.Pattern.Regex)); err == nil {
|
|
return pt.Pattern.Regex
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
return ""
|
|
}
|