GGUF
bit-jev
bitnet
structured-decision
pointer-head
cpu-inference
gpu-inference
knowledge-distillation
yelp
custom_code
conversational
Instructions to use jinghao1632/bit-jev-2b-distilled 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 jinghao1632/bit-jev-2b-distilled 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 jinghao1632/bit-jev-2b-distilled # Run inference directly in the terminal: llama cli -hf jinghao1632/bit-jev-2b-distilled
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf jinghao1632/bit-jev-2b-distilled # Run inference directly in the terminal: llama cli -hf jinghao1632/bit-jev-2b-distilled
Use pre-built binary
# 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 jinghao1632/bit-jev-2b-distilled # Run inference directly in the terminal: ./llama-cli -hf jinghao1632/bit-jev-2b-distilled
Build from source code
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 jinghao1632/bit-jev-2b-distilled # Run inference directly in the terminal: ./build/bin/llama-cli -hf jinghao1632/bit-jev-2b-distilled
Use Docker
docker model run hf.co/jinghao1632/bit-jev-2b-distilled
- LM Studio
- Jan
- Ollama
How to use jinghao1632/bit-jev-2b-distilled with Ollama:
ollama run hf.co/jinghao1632/bit-jev-2b-distilled
- Unsloth Desktop
- Docker Model Runner
How to use jinghao1632/bit-jev-2b-distilled with Docker Model Runner:
docker model run hf.co/jinghao1632/bit-jev-2b-distilled
- Lemonade
How to use jinghao1632/bit-jev-2b-distilled with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull jinghao1632/bit-jev-2b-distilled
Run and chat with the model
lemonade run user.bit-jev-2b-distilled-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Download bit-jev-logo.png from jinghao1632/bit-jev-2b-distilled: direct link, hf CLI and curl.
- Browser
- Download file 1.35 MB
-
https://huggingface.co/jinghao1632/bit-jev-2b-distilled/resolve/main/bit-jev-logo.png
- Command line
-
hf download hf://jinghao1632/bit-jev-2b-distilled/bit-jev-logo.png
-
curl -L -o bit-jev-logo.png https://huggingface.co/jinghao1632/bit-jev-2b-distilled/resolve/main/bit-jev-logo.png
1.35 MB

- Xet hash:
- ae4562e3812caabb55476f56fe1185785d38fc5fb7e3ff6849ecdc8b12ff3811
- Size of remote file:
- 1.35 MB
- SHA256:
- ed0f031bc13a11dd259af660fe1ba8f104d06d879b2137b3d04f14092e0a55bc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.