Sync with upstream ollama/ollama and restore Tesla K80 (compute 3.7) support

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- Removed outdated CI/CD workflows (tesla-k80-*.yml)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>
This commit is contained in:
Shang Chieh Tseng
2025-11-05 14:03:05 +08:00
parent fabe2c5cb7
commit ef14fb5b26
817 changed files with 241634 additions and 70888 deletions

View File

@@ -100,6 +100,10 @@ func (f Modelfile) CreateRequest(relativeDir string) (*api.CreateRequest, error)
req.System = c.Args
case "license":
licenses = append(licenses, c.Args)
case "renderer":
req.Renderer = c.Args
case "parser":
req.Parser = c.Args
case "message":
role, msg, _ := strings.Cut(c.Args, ": ")
messages = append(messages, api.Message{Role: role, Content: msg})
@@ -246,7 +250,7 @@ func filesForModel(path string) ([]string, error) {
for _, match := range matches {
if ct, err := detectContentType(match); err != nil {
return nil, err
} else if ct != contentType {
} else if len(contentType) > 0 && ct != contentType {
return nil, fmt.Errorf("invalid content type: expected %s for %s", ct, match)
}
}
@@ -255,7 +259,8 @@ func filesForModel(path string) ([]string, error) {
}
var files []string
if st, _ := glob(filepath.Join(path, "*.safetensors"), "application/octet-stream"); len(st) > 0 {
// some safetensors files do not properly match "application/octet-stream", so skip checking their contentType
if st, _ := glob(filepath.Join(path, "*.safetensors"), ""); len(st) > 0 {
// safetensors files might be unresolved git lfs references; skip if they are
// covers model-x-of-y.safetensors, model.fp32-x-of-y.safetensors, model.safetensors
files = append(files, st...)
@@ -319,7 +324,7 @@ func (c Command) String() string {
switch c.Name {
case "model":
fmt.Fprintf(&sb, "FROM %s", c.Args)
case "license", "template", "system", "adapter":
case "license", "template", "system", "adapter", "renderer", "parser":
fmt.Fprintf(&sb, "%s %s", strings.ToUpper(c.Name), quote(c.Args))
case "message":
role, message, _ := strings.Cut(c.Args, ": ")
@@ -345,7 +350,7 @@ const (
var (
errMissingFrom = errors.New("no FROM line")
errInvalidMessageRole = errors.New("message role must be one of \"system\", \"user\", or \"assistant\"")
errInvalidCommand = errors.New("command must be one of \"from\", \"license\", \"template\", \"system\", \"adapter\", \"parameter\", or \"message\"")
errInvalidCommand = errors.New("command must be one of \"from\", \"license\", \"template\", \"system\", \"adapter\", \"renderer\", \"parser\", \"parameter\", or \"message\"")
)
type ParserError struct {
@@ -605,7 +610,7 @@ func isValidMessageRole(role string) bool {
func isValidCommand(cmd string) bool {
switch strings.ToLower(cmd) {
case "from", "license", "template", "system", "adapter", "parameter", "message":
case "from", "license", "template", "system", "adapter", "renderer", "parser", "parameter", "message":
return true
default:
return false