Instructions to use VladHong/llama-cpp-K2-FAST2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use VladHong/llama-cpp-K2-FAST2 with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf VladHong/llama-cpp-K2-FAST2 # Run inference directly in the terminal: llama cli -hf VladHong/llama-cpp-K2-FAST2
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf VladHong/llama-cpp-K2-FAST2 # Run inference directly in the terminal: llama cli -hf VladHong/llama-cpp-K2-FAST2
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf VladHong/llama-cpp-K2-FAST2 # Run inference directly in the terminal: ./build/bin/llama cli -hf VladHong/llama-cpp-K2-FAST2
Use Docker
docker model run hf.co/VladHong/llama-cpp-K2-FAST2
- Llama new
- LM Studio
- Jan
- Ollama
How to use VladHong/llama-cpp-K2-FAST2 with Ollama:
ollama run hf.co/VladHong/llama-cpp-K2-FAST2
- Unsloth Desktop
- Docker Model Runner
How to use VladHong/llama-cpp-K2-FAST2 with Docker Model Runner:
docker model run hf.co/VladHong/llama-cpp-K2-FAST2
- Lemonade
How to use VladHong/llama-cpp-K2-FAST2 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull VladHong/llama-cpp-K2-FAST2
Run and chat with the model
lemonade run user.llama-cpp-K2-FAST2-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Download ggml/src/ggml-virtgpu/ggml-backend-buffer.cpp from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 5.44 kB
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/ggml/src/ggml-virtgpu/ggml-backend-buffer.cpp
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/ggml/src/ggml-virtgpu/ggml-backend-buffer.cpp
-
curl -L -o ggml-backend-buffer.cpp https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/ggml/src/ggml-virtgpu/ggml-backend-buffer.cpp
5.44 kB
| static void * ggml_backend_remoting_buffer_get_base(ggml_backend_buffer_t buffer) { | |
| ggml_backend_remoting_buffer_context * context = (ggml_backend_remoting_buffer_context *) buffer->context; | |
| if (context->base) { | |
| return context->base; | |
| } | |
| context->base = apir_buffer_get_base(BUFFER_TO_GPU(buffer), BUFFER_TO_APIR_CONTEXT(buffer)); | |
| return context->base; | |
| } | |
| static void ggml_backend_remoting_buffer_set_tensor(ggml_backend_buffer_t buffer, | |
| ggml_tensor * tensor, | |
| const void * data, | |
| size_t offset, | |
| size_t size) { | |
| virtgpu * gpu = BUFFER_TO_GPU(buffer); | |
| ggml_backend_remoting_buffer_context * context = BUFFER_TO_GGML_CONTEXT(buffer); | |
| if (context->is_from_ptr) { | |
| memcpy((char *) tensor->data + offset, data, size); | |
| } else { | |
| apir_buffer_set_tensor(gpu, BUFFER_TO_APIR_CONTEXT(buffer), tensor, data, offset, size); | |
| } | |
| return; | |
| } | |
| static void ggml_backend_remoting_buffer_get_tensor(ggml_backend_buffer_t buffer, | |
| const ggml_tensor * tensor, | |
| void * data, | |
| size_t offset, | |
| size_t size) { | |
| virtgpu * gpu = BUFFER_TO_GPU(buffer); | |
| ggml_backend_remoting_buffer_context * context = BUFFER_TO_GGML_CONTEXT(buffer); | |
| if (context->is_from_ptr) { | |
| memcpy(data, (const char *) tensor->data + offset, size); | |
| } else { | |
| apir_buffer_get_tensor(gpu, BUFFER_TO_APIR_CONTEXT(buffer), tensor, data, offset, size); | |
| } | |
| } | |
| static void ggml_backend_remoting_buffer_set_tensor_from_ptr(ggml_backend_buffer_t buffer, | |
| ggml_tensor * tensor, | |
| const void * data, | |
| size_t offset, | |
| size_t size) { | |
| UNUSED(buffer); | |
| memcpy((char *) tensor->data + offset, data, size); | |
| return; | |
| } | |
| static void ggml_backend_remoting_buffer_get_tensor_from_ptr(ggml_backend_buffer_t buffer, | |
| const ggml_tensor * tensor, | |
| void * data, | |
| size_t offset, | |
| size_t size) { | |
| UNUSED(buffer); | |
| memcpy(data, (const char *) tensor->data + offset, size); | |
| } | |
| static bool ggml_backend_remoting_buffer_cpy_tensor(ggml_backend_buffer_t buffer, | |
| const ggml_tensor * src, | |
| ggml_tensor * dst) { | |
| virtgpu * gpu = BUFFER_TO_GPU(buffer); | |
| bool ret = apir_buffer_cpy_tensor(gpu, BUFFER_TO_APIR_CONTEXT(buffer), src, dst); | |
| return ret; | |
| } | |
| static void ggml_backend_remoting_buffer_clear(ggml_backend_buffer_t buffer, uint8_t value) { | |
| virtgpu * gpu = BUFFER_TO_GPU(buffer); | |
| apir_buffer_clear(gpu, BUFFER_TO_APIR_CONTEXT(buffer), value); | |
| return; | |
| } | |
| static void ggml_backend_remoting_buffer_free_buffer(ggml_backend_buffer_t buffer) { | |
| virtgpu * gpu = BUFFER_TO_GPU(buffer); | |
| apir_buffer_free_buffer(gpu, BUFFER_TO_APIR_CONTEXT(buffer)); | |
| ggml_backend_remoting_buffer_context * context = BUFFER_TO_GGML_CONTEXT(buffer); | |
| free(context); | |
| buffer->context = NULL; | |
| } | |
| const ggml_backend_buffer_i ggml_backend_remoting_buffer_interface = { | |
| /* .free_buffer = */ ggml_backend_remoting_buffer_free_buffer, | |
| /* .get_base = */ ggml_backend_remoting_buffer_get_base, | |
| /* .init_tensor = */ NULL, | |
| /* .memset_tensor = */ NULL, | |
| /* .set_tensor = */ ggml_backend_remoting_buffer_set_tensor, | |
| /* .get_tensor = */ ggml_backend_remoting_buffer_get_tensor, | |
| /* .set_tensor_2d = */ NULL, | |
| /* .get_tensor_2d = */ NULL, | |
| /* .cpy_tensor = */ ggml_backend_remoting_buffer_cpy_tensor, | |
| /* .clear = */ ggml_backend_remoting_buffer_clear, | |
| /* .reset = */ NULL, | |
| }; | |
| const ggml_backend_buffer_i ggml_backend_remoting_buffer_from_ptr_interface = { | |
| /* .free_buffer = */ ggml_backend_remoting_buffer_free_buffer, | |
| /* .get_base = */ ggml_backend_remoting_buffer_get_base, | |
| /* .init_tensor = */ NULL, | |
| /* .memset_tensor = */ NULL, | |
| /* .set_tensor = */ ggml_backend_remoting_buffer_set_tensor_from_ptr, | |
| /* .get_tensor = */ ggml_backend_remoting_buffer_get_tensor_from_ptr, | |
| /* .set_tensor_2d = */ NULL, | |
| /* .get_tensor_2d = */ NULL, | |
| /* .cpy_tensor = */ ggml_backend_remoting_buffer_cpy_tensor, | |
| /* .clear = */ ggml_backend_remoting_buffer_clear, | |
| /* .reset = */ NULL, | |
| }; | |