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
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 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
- Llama new
- 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 config.json from jinghao1632/bit-jev-2b-distilled: direct link, hf CLI and curl.
- Browser
- Download file 952 Bytes
-
https://huggingface.co/jinghao1632/bit-jev-2b-distilled/resolve/8d169a9ccfaf9d8ce7444a90b1af0aa685cf3242/config.json
- Command line
-
hf download hf://jinghao1632/bit-jev-2b-distilled@8d169a9ccfaf9d8ce7444a90b1af0aa685cf3242/config.json
-
curl -L -o config.json https://huggingface.co/jinghao1632/bit-jev-2b-distilled/resolve/8d169a9ccfaf9d8ce7444a90b1af0aa685cf3242/config.json
952 Bytes
| { | |
| "architectures": [ | |
| "BitNetModel" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "auto_map": { | |
| "AutoConfig": "configuration_bitnet.BitNetConfig", | |
| "AutoModelForCausalLM": "modeling_bitnet.BitNetForCausalLM" | |
| }, | |
| "bos_token_id": 128000, | |
| "dtype": "float32", | |
| "eos_token_id": 128001, | |
| "hidden_act": "relu2", | |
| "hidden_size": 2560, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 6912, | |
| "max_position_embeddings": 4096, | |
| "model_type": "bitnet", | |
| "num_attention_heads": 20, | |
| "num_hidden_layers": 30, | |
| "num_key_value_heads": 5, | |
| "quantization_config": { | |
| "linear_class": "autobitlinear", | |
| "modules_to_not_convert": [], | |
| "quant_method": "bitnet", | |
| "quantization_mode": "online", | |
| "rms_norm_eps": 1e-06, | |
| "use_rms_norm": false | |
| }, | |
| "rms_norm_eps": 1e-05, | |
| "rope_theta": 500000.0, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "4.57.6", | |
| "use_cache": false, | |
| "vocab_size": 128256 | |
| } | |