mirror of
https://github.com/dogkeeper886/ollama37.git
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ef14fb5b26
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with comprehensive build instructions - Documented toolchain constraints and CPU architecture trade-offs - Removed outdated CI/CD workflows (tesla-k80-*.yml) - Cleaned up temporary development artifacts ## Rationale This fork maintains Tesla K80 GPU support (compute 3.7) which was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>
73 lines
3.3 KiB
Diff
73 lines
3.3 KiB
Diff
From 0000000000000000000000000000000000000000 Mon Sep 17 00:00:00 2001
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From: jmorganca <jmorganca@gmail.com>
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Date: Tue, 8 Apr 2025 19:43:06 -0700
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Subject: [PATCH] fix deepseek deseret regex
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on some systems, deepseek's regex would throw an error
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on windows due to the deseret characters in the matching
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regex
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---
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src/llama-vocab.cpp | 2 +-
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src/unicode.cpp | 21 +++++++++++++++++++++
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2 files changed, 22 insertions(+), 1 deletion(-)
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diff --git a/src/llama-vocab.cpp b/src/llama-vocab.cpp
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index 0b6edaf4..3de95c67 100644
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--- a/src/llama-vocab.cpp
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+++ b/src/llama-vocab.cpp
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@@ -299,7 +299,7 @@ struct llm_tokenizer_bpe : llm_tokenizer {
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case LLAMA_VOCAB_PRE_TYPE_DEEPSEEK_LLM:
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regex_exprs = {
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"[\r\n]",
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- "\\s?[A-Za-zµÀ-ÖØ-öø-ƺƼ-ƿDŽ-ʓʕ-ʯͰ-ͳͶͷͻ-ͽͿΆΈ-ΊΌΎ-ΡΣ-ϵϷ-ҁҊ-ԯԱ-ՖႠ-ჅᎠ-Ᏽᏸ-ᏽᲐ-ᲺᲽ-Ჿᴀ-ᴫᵫ-ᵷᵹ-ᶚḀ-ἕἘ-Ἕἠ-ὅὈ-Ὅὐ-ὗὙὛὝὟ-ώᾀ-ᾴᾶ-ᾼιῂ-ῄῆ-ῌῐ-ΐῖ-Ίῠ-Ῥῲ-ῴῶ-ῼℂℇℊ-ℓℕℙ-ℝℤΩℨK-ℭℯ-ℴℹℼ-ℿⅅ-ⅉⅎↃↄⰀ-ⱻⱾ-ⳤⳫ-ⳮⳲⳳꙀ-ꙭꚀ-ꚛꜢ-ꝯꝱ-ꞇꞋ-ꞎꭰ-ꮿff-stﬓ-ﬗＡ-Ｚａ-ｚ𐐀-𐑏𐒰-𐓓𐓘-𐓻𐲀-𐲲𐳀-𐳲𑢠-𑣟𞤀-𞥃]+",
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+ "\\s?[A-Za-zµÀ-ÖØ-öø-ƺƼ-ƿDŽ-ʓʕ-ʯͰ-ͳͶͷͻ-ͽͿΆΈ-ΊΌΎ-ΡΣ-ϵϷ-ҁҊ-ԯԱ-ՖႠ-ჅᎠ-Ᏽᏸ-ᏽᲐ-ᲺᲽ-Ჿᴀ-ᴫᵫ-ᵷᵹ-ᶚḀ-ἕἘ-Ἕἠ-ὅὈ-Ὅὐ-ὗὙὛὝὟ-ώᾀ-ᾴᾶ-ᾼιῂ-ῄῆ-ῌῐ-ΐῖ-Ίῠ-Ῥῲ-ῴῶ-ῼℂℇℊ-ℓℕℙ-ℝℤΩℨK-ℭℯ-ℴℹℼ-ℿⅅ-ⅉⅎↃↄⰀ-ⱻⱾ-ⳤⳫ-ⳮⳲⳳꙀ-ꙭꚀ-ꚛꜢ-ꝯꝱ-ꞇꞋ-ꞎꭰ-ꮿff-stﬓ-ﬗＡ-Ｚａ-ｚ\U00010400-\U0001044f𐒰-𐓓𐓘-𐓻𐲀-𐲲𐳀-𐳲𑢠-𑣟𞤀-𞥃]+",
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"\\s?[!-/:-~！-／：-～‘-‟ -。]+",
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"\\s+$",
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"[一-龥ࠀ-一가-]+",
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diff --git a/src/unicode.cpp b/src/unicode.cpp
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index 65f36651..ce336a22 100644
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--- a/src/unicode.cpp
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+++ b/src/unicode.cpp
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@@ -2,6 +2,11 @@
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#define _SILENCE_CXX17_CODECVT_HEADER_DEPRECATION_WARNING
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#endif
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+#if defined(_WIN32)
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+#define WIN32_LEAN_AND_MEAN
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+#include <windows.h>
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+#endif
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+
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#include "unicode.h"
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#include "unicode-data.h"
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@@ -200,6 +205,21 @@ static std::unordered_map<std::string, uint8_t> unicode_utf8_to_byte_map() {
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}
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static inline std::wstring unicode_wstring_from_utf8(const std::string & s) {
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+#ifdef _WIN32
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+ int wlen = MultiByteToWideChar(CP_UTF8, 0, s.c_str(), -1, NULL, 0);
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+ if (!wlen) {
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+ throw std::invalid_argument("failed to convert regex");
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+ }
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+ wchar_t * wbuf = (wchar_t *) malloc(wlen * sizeof(wchar_t));
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+ wlen = MultiByteToWideChar(CP_UTF8, 0, s.c_str(), -1, wbuf, wlen);
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+ if (!wlen) {
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+ free(wbuf);
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+ throw std::invalid_argument("failed to convert regex");
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+ }
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+ std::wstring ret = std::wstring(wbuf);
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+ free(wbuf);
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+ return ret;
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+#else
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#if defined(__clang__)
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// disable C++17 deprecation warning for std::codecvt_utf8
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# pragma clang diagnostic push
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@@ -218,6 +238,7 @@ static inline std::wstring unicode_wstring_from_utf8(const std::string & s) {
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#endif
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return conv.from_bytes(s);
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+#endif
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}
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static std::vector<std::string> unicode_byte_encoding_process(const std::vector<std::string> & bpe_words) {
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