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6 Commits
fix/distri
...
dependabot
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e9154d4a3a | ||
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0d8adfc59a | ||
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43f2615e19 | ||
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875c539ad5 | ||
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d641ded194 | ||
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40445fff05 |
@@ -1,5 +1,5 @@
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IK_LLAMA_VERSION?=f74a6fb87b315b2c3154166e075360e15021a61d
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IK_LLAMA_VERSION?=29431b31c89e79c10f8736e8f2742485ba1713d6
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LLAMA_REPO?=https://github.com/ikawrakow/ik_llama.cpp
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CMAKE_ARGS?=
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@@ -1,5 +1,5 @@
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LLAMA_VERSION?=6f4f53f2b7da54fcdbbecaaa734337c337ad6176
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LLAMA_VERSION?=0eca4d490e591d4e93058d07540cf47278a72577
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LLAMA_REPO?=https://github.com/ggerganov/llama.cpp
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CMAKE_ARGS?=
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@@ -8,7 +8,7 @@ JOBS?=$(shell nproc --ignore=1)
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# stablediffusion.cpp (ggml)
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STABLEDIFFUSION_GGML_REPO?=https://github.com/leejet/stable-diffusion.cpp
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STABLEDIFFUSION_GGML_VERSION?=3b6c9ca97cfcda8e68e719e6670d06379fcbe943
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STABLEDIFFUSION_GGML_VERSION?=484baa41e5e006c52dcd4addc38c830b9489745f
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CMAKE_ARGS+=-DGGML_MAX_NAME=128
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@@ -798,6 +798,7 @@ void sd_img_gen_params_set_seed(sd_img_gen_params_t *params, int64_t seed) {
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int gen_image(sd_img_gen_params_t *p, int steps, char *dst, float cfg_scale, char *src_image, float strength, char *mask_image, char* ref_images[], int ref_images_count) {
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sd_image_t* results;
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int num_results_out = 0;
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std::vector<int> skip_layers = {7, 8, 9};
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@@ -994,10 +995,14 @@ int gen_image(sd_img_gen_params_t *p, int steps, char *dst, float cfg_scale, cha
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sd_ctx_params_to_str(&ctx_params),
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sd_img_gen_params_to_str(p));
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results = generate_image(sd_c, p);
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bool gen_ok = generate_image(sd_c, p, &results, &num_results_out);
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std::free(p);
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if (!gen_ok || num_results_out == 0) {
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results = NULL;
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}
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if (results == NULL) {
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fprintf (stderr, "NO results\n");
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if (input_image_buffer) free(input_image_buffer);
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@@ -8,7 +8,7 @@ JOBS?=$(shell nproc --ignore=1)
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# whisper.cpp version
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WHISPER_REPO?=https://github.com/ggml-org/whisper.cpp
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WHISPER_CPP_VERSION?=0ae02cdb2c7317b50991367c165736ce42ed96ac
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WHISPER_CPP_VERSION?=0874de3e8e8e48361dba85c7fe6d176f008bf158
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SO_TARGET?=libgowhisper.so
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CMAKE_ARGS+=-DBUILD_SHARED_LIBS=OFF
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@@ -4,7 +4,7 @@ torchaudio
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torchvision
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# Core dependencies
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transformers>=4.51.0,<4.58.0
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transformers>=5.12.1,<5.13.0
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diffusers
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gradio
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matplotlib>=3.7.5
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@@ -4,7 +4,7 @@ torchaudio
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torchvision
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# Core dependencies
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transformers>=4.51.0,<4.58.0
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transformers>=5.12.1,<5.13.0
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diffusers
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gradio>=6.5.1
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matplotlib>=3.7.5
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@@ -4,7 +4,7 @@ torchaudio
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torchvision
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# Core dependencies
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transformers>=4.51.0,<4.58.0
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transformers>=5.12.1,<5.13.0
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diffusers
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gradio>=6.5.1
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matplotlib>=3.7.5
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@@ -1,10 +1,10 @@
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--extra-index-url https://download.pytorch.org/whl/rocm7.0
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torch==2.10.0+rocm7.0
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torch==2.12.0+cpu
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torchaudio
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torchvision
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# Core dependencies
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transformers>=4.51.0,<4.58.0
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transformers>=5.12.1,<5.13.0
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diffusers
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gradio>=6.5.1
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matplotlib>=3.7.5
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@@ -4,7 +4,7 @@ torchaudio
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torchvision
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# Core dependencies
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transformers>=4.51.0,<4.58.0
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transformers>=5.12.1,<5.13.0
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diffusers
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gradio
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matplotlib>=3.7.5
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@@ -3,7 +3,7 @@ torch
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torchaudio
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torchvision
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# Core dependencies
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transformers>=4.51.0,<4.58.0
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transformers>=5.12.1,<5.13.0
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diffusers
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gradio>=6.5.1
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matplotlib>=3.7.5
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@@ -3,7 +3,7 @@ torchaudio
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torchvision
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# Core dependencies
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transformers>=4.51.0,<4.58.0
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transformers>=5.12.1,<5.13.0
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diffusers
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gradio
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matplotlib>=3.7.5
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@@ -3,5 +3,5 @@ opencv-python
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accelerate
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peft
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inference
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torch==2.7.1
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torch==2.12.0+cu130
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optimum-quanto
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@@ -1,4 +1,4 @@
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torch==2.7.1
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torch==2.12.0+cu130
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rfdetr
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opencv-python
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accelerate
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@@ -1,5 +1,5 @@
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--extra-index-url https://download.pytorch.org/whl/cu130
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torch==2.9.1
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torch==2.12.0+cu130
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rfdetr
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opencv-python
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accelerate
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@@ -1,5 +1,5 @@
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--extra-index-url https://download.pytorch.org/whl/rocm7.0
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torch==2.10.0+rocm7.0
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torch==2.12.0+cu130
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torchvision==0.25.0+rocm7.0
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rfdetr
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opencv-python
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@@ -1,4 +1,4 @@
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torch==2.7.1
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torch==2.12.0+cu130
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rfdetr
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opencv-python
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accelerate
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@@ -1,6 +1,6 @@
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--extra-index-url https://download.pytorch.org/whl/cpu
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accelerate
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torch==2.9.0
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torch==2.12.0+cpu
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torchvision
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torchaudio
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transformers
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@@ -6,7 +6,7 @@
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# for cublas12 so uv consults this index alongside PyPI.
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--extra-index-url https://download.pytorch.org/whl/cu128
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accelerate
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torch==2.9.1
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torch==2.12.0+cpu
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torchvision
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torchaudio
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transformers
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@@ -1,9 +1,9 @@
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--extra-index-url https://download.pytorch.org/whl/cpu
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torch==2.10.0
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torch==2.12.0+cpu
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trl
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peft
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datasets>=3.0.0
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transformers>=4.56.2
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transformers>=5.12.1
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accelerate>=1.4.0
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huggingface-hub>=1.3.0
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sentencepiece
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@@ -1,8 +1,8 @@
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torch==2.10.0
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torch==2.12.0+cpu
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trl
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peft
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datasets>=3.0.0
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transformers>=4.56.2
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transformers>=5.12.1
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accelerate>=1.4.0
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huggingface-hub>=1.3.0
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sentencepiece
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@@ -1,8 +1,8 @@
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torch==2.10.0
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torch==2.12.0+cpu
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trl
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peft
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datasets>=3.0.0
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transformers>=4.56.2
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transformers>=5.12.1
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accelerate>=1.4.0
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huggingface-hub>=1.3.0
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sentencepiece
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@@ -1,8 +1,8 @@
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torch==2.10.0
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torch==2.12.0+cpu
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trl
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peft
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datasets>=3.0.0
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transformers>=4.56.2
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transformers>=5.12.1
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accelerate>=1.4.0
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huggingface-hub>=1.3.0
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sentencepiece
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@@ -1,4 +1,4 @@
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accelerate
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torch==2.7.0
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torch==2.12.0+cu130
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transformers
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bitsandbytes
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@@ -3,8 +3,8 @@
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# on a cu130 host. Pull the cu130-flavoured wheel from vLLM's per-tag index
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# instead — the cublas13 case in install.sh adds --index-strategy=unsafe-best-match
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# so uv consults this index alongside PyPI.
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--extra-index-url https://wheels.vllm.ai/0.23.0/cu130
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--extra-index-url https://wheels.vllm.ai/0.24.0/cu130
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# VERSION COUPLING: darwin/Apple-Silicon builds use vllm-metal (see install.sh),
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# which pins this exact vLLM version. Bumping vllm here means coordinating with a
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# vllm-metal release that supports the new version, or macOS/Metal builds break.
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vllm==0.23.0
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vllm==0.24.0
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