mirror of
https://github.com/dogkeeper886/ollama37.git
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This commit represents a complete rework after pulling the latest changes from official ollama/ollama repository and re-applying Tesla K80 compatibility patches. ## Key Changes ### CUDA Compute Capability 3.7 Support (Tesla K80) - Added sm_37 (compute 3.7) to CMAKE_CUDA_ARCHITECTURES in CMakeLists.txt - Updated CMakePresets.json to include compute 3.7 in "CUDA 11" preset - Using 37-virtual (PTX with JIT compilation) for maximum compatibility ### Legacy Toolchain Compatibility - **NVIDIA Driver**: 470.256.02 (last version supporting Kepler/K80) - **CUDA Version**: 11.4.4 (last CUDA 11.x supporting compute 3.7) - **GCC Version**: 10.5.0 (required by CUDA 11.4 host_config.h) ### CPU Architecture Trade-offs Due to GCC 10.5 limitation, sacrificed newer CPU optimizations: - Alderlake CPU variant enabled WITHOUT AVX_VNNI (requires GCC 11+) - Still supports: SSE4.2, AVX, F16C, AVX2, BMI2, FMA - Performance impact: ~3-7% on newer CPUs (acceptable for K80 compatibility) ### Build System Updates - Modified ml/backend/ggml/ggml/src/ggml-cuda/CMakeLists.txt for compute 3.7 - Added -Wno-deprecated-gpu-targets flag to suppress warnings - Updated ml/backend/ggml/ggml/src/CMakeLists.txt for Alderlake without AVX_VNNI ### Upstream Sync Merged latest llama.cpp changes including: - Enhanced KV cache management with ISWA and hybrid memory support - Improved multi-modal support (mtmd framework) - New model architectures (Gemma3, Llama4, Qwen3, etc.) - GPU backend improvements for CUDA, Metal, and ROCm - Updated quantization support and GGUF format handling ### Documentation - Updated CLAUDE.md with comprehensive build instructions - Documented toolchain constraints and CPU architecture trade-offs - Removed outdated CI/CD workflows (tesla-k80-*.yml) - Cleaned up temporary development artifacts ## Rationale This fork maintains Tesla K80 GPU support (compute 3.7) which was dropped in official Ollama due to legacy driver/CUDA requirements. The toolchain constraint creates a deadlock: - K80 → Driver 470 → CUDA 11.4 → GCC 10 → No AVX_VNNI We accept the loss of cutting-edge CPU optimizations to enable running modern LLMs on legacy but still capable Tesla K80 hardware (12GB VRAM per GPU). 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
113 lines
2.0 KiB
Go
113 lines
2.0 KiB
Go
package model
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import (
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"log/slog"
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"slices"
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"sync"
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)
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type Special int32
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const (
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SpecialBOS Special = iota
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SpecialEOS
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)
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type Vocabulary struct {
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Values []string
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Types []int32
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Scores []float32
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Merges []string
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BOS, EOS []int32
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AddBOS, AddEOS bool
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specialOnce sync.Once
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special []string
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valuesOnce sync.Once
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values map[string]int32
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mergeOnce sync.Once
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merge map[string]int32
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}
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func (v *Vocabulary) Is(id int32, special Special) bool {
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switch special {
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case SpecialBOS:
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return slices.Contains(v.BOS, id)
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case SpecialEOS:
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return slices.Contains(v.EOS, id)
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default:
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return false
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}
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}
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func (v *Vocabulary) addSpecials(ids []int32) []int32 {
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if v.AddBOS && len(v.BOS) > 0 {
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if slices.Contains(v.BOS, ids[0]) {
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slog.Warn("adding bos token to prompt which already has it", "id", v.BOS)
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}
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slog.Debug("adding bos token to prompt", "id", v.BOS[0])
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ids = append([]int32{v.BOS[0]}, ids...)
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}
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if v.AddEOS && len(v.EOS) > 0 {
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if slices.Contains(v.BOS, ids[len(ids)-1]) {
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slog.Warn("adding eos token to prompt which already has it", "id", v.EOS)
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}
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slog.Debug("adding eos token to prompt", "id", v.EOS[0])
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ids = append(ids, v.EOS[0])
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}
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return ids
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}
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func (v *Vocabulary) Encode(s string) int32 {
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v.valuesOnce.Do(func() {
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v.values = make(map[string]int32, len(v.Values))
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for i, value := range v.Values {
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v.values[value] = int32(i)
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}
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})
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if id, ok := v.values[s]; ok {
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return id
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}
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return -1
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}
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func (v *Vocabulary) Decode(id int32) string {
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return v.Values[id]
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}
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func (v *Vocabulary) SpecialVocabulary() []string {
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v.specialOnce.Do(func() {
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for i := range v.Values {
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if v.Types[i] == TOKEN_TYPE_CONTROL || v.Types[i] == TOKEN_TYPE_USER_DEFINED {
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v.special = append(v.special, v.Values[i])
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}
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}
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})
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return v.special
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}
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func (v *Vocabulary) Merge(left, right string) int {
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v.mergeOnce.Do(func() {
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v.merge = make(map[string]int32, len(v.Merges))
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for i, merge := range v.Merges {
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v.merge[merge] = int32(i)
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}
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})
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if id, ok := v.merge[left+" "+right]; ok {
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return int(id)
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}
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return -1
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}
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