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- Removed outdated CI/CD workflows (tesla-k80-*.yml)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

@@ -154,24 +154,55 @@ func TestTemplate(t *testing.T) {
}
func TestParse(t *testing.T) {
cases := []struct {
validCases := []struct {
name string
template string
vars []string
}{
{"{{ .Prompt }}", []string{"prompt", "response"}},
{"{{ .System }} {{ .Prompt }}", []string{"prompt", "response", "system"}},
{"{{ .System }} {{ .Prompt }} {{ .Response }}", []string{"prompt", "response", "system"}},
{"{{ with .Tools }}{{ . }}{{ end }} {{ .System }} {{ .Prompt }}", []string{"prompt", "response", "system", "tools"}},
{"{{ range .Messages }}{{ .Role }} {{ .Content }}{{ end }}", []string{"content", "messages", "role"}},
{"{{ range .Messages }}{{ if eq .Role \"tool\" }}Tool Result: {{ .ToolName }} {{ .Content }}{{ end }}{{ end }}", []string{"content", "messages", "role", "toolname"}},
{`{{- range .Messages }}
{
name: "PromptOnly",
template: "{{ .Prompt }}",
vars: []string{"prompt", "response"},
},
{
name: "SystemAndPrompt",
template: "{{ .System }} {{ .Prompt }}",
vars: []string{"prompt", "response", "system"},
},
{
name: "PromptResponseSystem",
template: "{{ .System }} {{ .Prompt }} {{ .Response }}",
vars: []string{"prompt", "response", "system"},
},
{
name: "ToolsBlock",
template: "{{ with .Tools }}{{ . }}{{ end }} {{ .System }} {{ .Prompt }}",
vars: []string{"prompt", "response", "system", "tools"},
},
{
name: "MessagesRange",
template: "{{ range .Messages }}{{ .Role }} {{ .Content }}{{ end }}",
vars: []string{"content", "messages", "role"},
},
{
name: "ToolResultConditional",
template: "{{ range .Messages }}{{ if eq .Role \"tool\" }}Tool Result: {{ .ToolName }} {{ .Content }}{{ end }}{{ end }}",
vars: []string{"content", "messages", "role", "toolname"},
},
{
name: "MultilineSystemUserAssistant",
template: `{{- range .Messages }}
{{- if eq .Role "system" }}SYSTEM:
{{- else if eq .Role "user" }}USER:
{{- else if eq .Role "assistant" }}ASSISTANT:
{{- else if eq .Role "tool" }}TOOL:
{{- else if eq .Role "tool" }}TOOL:
{{- end }} {{ .Content }}
{{- end }}`, []string{"content", "messages", "role"}},
{`{{- if .Messages }}
{{- end }}`,
vars: []string{"content", "messages", "role"},
},
{
name: "ChatMLLike",
template: `{{- if .Messages }}
{{- range .Messages }}<|im_start|>{{ .Role }}
{{ .Content }}<|im_end|>
{{ end }}<|im_start|>assistant
@@ -182,18 +213,60 @@ func TestParse(t *testing.T) {
{{ .Prompt }}<|im_end|>
{{ end }}<|im_start|>assistant
{{ .Response }}<|im_end|>
{{- end -}}`, []string{"content", "messages", "prompt", "response", "role", "system"}},
{{- end -}}`,
vars: []string{"content", "messages", "prompt", "response", "role", "system"},
},
}
for _, tt := range cases {
t.Run("", func(t *testing.T) {
for _, tt := range validCases {
tt := tt
t.Run(tt.name, func(t *testing.T) {
t.Parallel()
tmpl, err := Parse(tt.template)
if err != nil {
t.Fatal(err)
t.Fatalf("Parse returned unexpected error: %v", err)
}
if diff := cmp.Diff(tmpl.Vars(), tt.vars); diff != "" {
t.Errorf("mismatch (-got +want):\n%s", diff)
gotVars, err := tmpl.Vars()
if err != nil {
t.Fatalf("Vars returned unexpected error: %v", err)
}
if diff := cmp.Diff(gotVars, tt.vars); diff != "" {
t.Errorf("Vars mismatch (-got +want):\n%s", diff)
}
})
}
}
func TestParseError(t *testing.T) {
invalidCases := []struct {
name string
template string
errorStr string
}{
{
"TemplateNotClosed",
"{{ .Prompt ",
"unclosed action",
},
{
"Template",
`{{define "x"}}{{template "x"}}{{end}}{{template "x"}}`,
"undefined template specified",
},
}
for _, tt := range invalidCases {
t.Run(tt.name, func(t *testing.T) {
_, err := Parse(tt.template)
if err == nil {
t.Fatalf("expected Parse to return an error for an invalid template, got nil")
}
if !strings.Contains(strings.ToLower(err.Error()), strings.ToLower(tt.errorStr)) {
t.Errorf("unexpected error message.\n got: %q\n want substring (caseinsensitive): %q", err.Error(), tt.errorStr)
}
})
}