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with comprehensive build instructions - Documented toolchain constraints and CPU architecture trade-offs - Removed outdated CI/CD workflows (tesla-k80-*.yml) - Cleaned up temporary development artifacts ## Rationale This fork maintains Tesla K80 GPU support (compute 3.7) which was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>
176 lines
4.8 KiB
Go
176 lines
4.8 KiB
Go
package renderers
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import (
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"encoding/json"
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"strings"
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"github.com/ollama/ollama/api"
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)
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func marshalWithSpaces(v any) ([]byte, error) {
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b, err := json.Marshal(v)
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if err != nil {
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return nil, err
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}
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out := make([]byte, 0, len(b)+len(b)/8)
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inStr, esc := false, false
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for _, c := range b {
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if inStr {
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out = append(out, c)
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if esc {
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esc = false
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continue
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}
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if c == '\\' {
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esc = true
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continue
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}
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if c == '"' {
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inStr = false
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}
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continue
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}
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switch c {
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case '"':
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inStr = true
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out = append(out, c)
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case ':':
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out = append(out, ':', ' ')
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case ',':
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out = append(out, ',', ' ')
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default:
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out = append(out, c)
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}
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}
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return out, nil
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}
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type Qwen3VLRenderer struct {
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isThinking bool
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useImgTags bool
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}
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func (r *Qwen3VLRenderer) renderContent(content api.Message) string {
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// This assumes all images are at the front of the message - same assumption as ollama/ollama/runner.go
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var subSb strings.Builder
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for range content.Images {
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// TODO: (jmorganca): how to render this is different for different
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// model backends, and so we should eventually parameterize this or
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// only output a placeholder such as [img]
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if r.useImgTags {
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subSb.WriteString("[img]")
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} else {
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subSb.WriteString("<|vision_start|><|image_pad|><|vision_end|>")
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}
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}
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// TODO: support videos
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subSb.WriteString(content.Content)
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return subSb.String()
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}
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func (r *Qwen3VLRenderer) Render(messages []api.Message, tools []api.Tool, _ *api.ThinkValue) (string, error) {
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var sb strings.Builder
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if len(tools) > 0 {
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sb.WriteString(imStartTag + "system\n")
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if len(messages) > 0 && messages[0].Role == "system" {
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sb.WriteString(messages[0].Content + "\n\n")
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}
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sb.WriteString("# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>")
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for _, tool := range tools {
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sb.WriteString("\n")
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if b, err := marshalWithSpaces(tool); err == nil {
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sb.Write(b)
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}
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}
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sb.WriteString("\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n")
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} else if len(messages) > 0 && messages[0].Role == "system" {
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sb.WriteString("<|im_start|>system\n" + messages[0].Content + "<|im_end|>\n")
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}
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multiStepTool := true
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lastQueryIndex := len(messages) - 1 // so this is the last user message
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for i := len(messages) - 1; i >= 0; i-- {
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message := messages[i]
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if multiStepTool && message.Role == "user" {
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// Check if content starts with <tool_response> and ends with </tool_response>
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content := r.renderContent(message)
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if !(strings.HasPrefix(content, "<tool_response>") && strings.HasSuffix(content, "</tool_response>")) {
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multiStepTool = false
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lastQueryIndex = i
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}
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}
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}
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for i, message := range messages {
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content := r.renderContent(message)
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lastMessage := i == len(messages)-1
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prefill := lastMessage && message.Role == "assistant"
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if message.Role == "user" || message.Role == "system" && i != 0 {
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sb.WriteString("<|im_start|>" + message.Role + "\n" + content + "<|im_end|>\n")
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} else if message.Role == "assistant" {
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contentReasoning := ""
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if r.isThinking {
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if message.Thinking != "" {
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contentReasoning = message.Thinking
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}
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}
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if r.isThinking && i > lastQueryIndex {
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if i == len(messages)-1 || contentReasoning != "" {
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sb.WriteString("<|im_start|>" + message.Role + "\n<think>\n" + strings.Trim(contentReasoning, "\n")) // do we want to add a new line here?
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if content != "" {
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sb.WriteString("\n</think>\n\n" + strings.TrimLeft(content, "\n"))
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}
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} else {
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sb.WriteString("<|im_start|>" + message.Role + "\n" + content)
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}
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} else {
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sb.WriteString("<|im_start|>" + message.Role + "\n" + content)
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}
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if len(message.ToolCalls) > 0 {
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for j, toolCall := range message.ToolCalls {
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if j > 0 || content != "" {
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sb.WriteString("\n")
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}
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sb.WriteString("<tool_call>\n{\"name\": \"" + toolCall.Function.Name + "\", \"arguments\": ")
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if b, err := marshalWithSpaces(toolCall.Function.Arguments); err == nil {
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sb.Write(b)
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}
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sb.WriteString("}\n</tool_call>")
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}
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}
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if !prefill {
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sb.WriteString("<|im_end|>\n")
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}
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} else if message.Role == "tool" {
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if i == 0 || messages[i-1].Role != "tool" {
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sb.WriteString("<|im_start|>user")
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}
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sb.WriteString("\n<tool_response>\n" + message.Content + "\n</tool_response>")
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if i == len(messages)-1 || messages[i+1].Role != "tool" {
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sb.WriteString("<|im_end|>\n")
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}
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}
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// prefill at the end
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if lastMessage && !prefill {
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sb.WriteString("<|im_start|>assistant\n")
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if r.isThinking {
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sb.WriteString("<think>\n")
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}
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}
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}
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return sb.String(), nil
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}
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