GigaChat Lite
Collection
8 items • Updated • 5
How to use ai-sage/GigaChat-20B-A3B-instruct-v1.5-GGUF with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf ai-sage/GigaChat-20B-A3B-instruct-v1.5-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf ai-sage/GigaChat-20B-A3B-instruct-v1.5-GGUF:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ai-sage/GigaChat-20B-A3B-instruct-v1.5-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf ai-sage/GigaChat-20B-A3B-instruct-v1.5-GGUF:Q4_K_M
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf ai-sage/GigaChat-20B-A3B-instruct-v1.5-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf ai-sage/GigaChat-20B-A3B-instruct-v1.5-GGUF:Q4_K_M
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf ai-sage/GigaChat-20B-A3B-instruct-v1.5-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf ai-sage/GigaChat-20B-A3B-instruct-v1.5-GGUF:Q4_K_M
docker model run hf.co/ai-sage/GigaChat-20B-A3B-instruct-v1.5-GGUF:Q4_K_M
How to use ai-sage/GigaChat-20B-A3B-instruct-v1.5-GGUF with Ollama:
ollama run hf.co/ai-sage/GigaChat-20B-A3B-instruct-v1.5-GGUF:Q4_K_M
How to use ai-sage/GigaChat-20B-A3B-instruct-v1.5-GGUF with Docker Model Runner:
docker model run hf.co/ai-sage/GigaChat-20B-A3B-instruct-v1.5-GGUF:Q4_K_M
How to use ai-sage/GigaChat-20B-A3B-instruct-v1.5-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ai-sage/GigaChat-20B-A3B-instruct-v1.5-GGUF:Q4_K_M
lemonade run user.GigaChat-20B-A3B-instruct-v1.5-GGUF-Q4_K_M
lemonade list
Диалоговая модель из семейства моделей GigaChat, основная на ai-sage/GigaChat-20B-A3B-instruct-v1.5. Поддерживает контекст в 131 тысячу токенов.
Больше подробностей в хабр статье и в карточке оригинальной instruct модели.
Добавление поддержки модели в:
Модель рекомендуется запускать в режиме чата для автоматической поддержки chat template:
./bin/llama-simple-chat -m /path/to/downloaded/GigaChat-20B-A3B-instruct_v1.5_bf16.gguf
4-bit
5-bit
6-bit
8-bit
16-bit
Base model
ai-sage/GigaChat-20B-A3B-base