Instructions to use KCh3dRi4n/llm4decompile-9b-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use KCh3dRi4n/llm4decompile-9b-v2 with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("KCh3dRi4n/llm4decompile-9b-v2") prompt = "Write a story about Einstein" messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use KCh3dRi4n/llm4decompile-9b-v2 with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "KCh3dRi4n/llm4decompile-9b-v2"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "KCh3dRi4n/llm4decompile-9b-v2" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "KCh3dRi4n/llm4decompile-9b-v2", "messages": [ {"role": "user", "content": "Hello"} ] }' - Atomic Chat
Download tokenizer_config.json from KCh3dRi4n/llm4decompile-9b-v2: direct link, hf CLI and curl.
- Browser
- Download file 1.07 kB
-
https://huggingface.co/KCh3dRi4n/llm4decompile-9b-v2/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://KCh3dRi4n/llm4decompile-9b-v2/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/KCh3dRi4n/llm4decompile-9b-v2/resolve/main/tokenizer_config.json
1.07 kB
| { | |
| "add_bos_token": false, | |
| "add_eos_token": false, | |
| "add_prefix_space": null, | |
| "added_tokens_decoder": { | |
| "0": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "1": { | |
| "content": "<|startoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "2": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "bos_token": "<|startoftext|>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|endoftext|>", | |
| "extra_special_tokens": {}, | |
| "legacy": true, | |
| "model_max_length": 200000, | |
| "pad_token": "<unk>", | |
| "padding_side": "right", | |
| "sp_model_kwargs": {}, | |
| "spaces_between_special_tokens": false, | |
| "split_special_tokens": false, | |
| "tokenizer_class": "LlamaTokenizer", | |
| "unk_token": "<unk>", | |
| "use_default_system_prompt": false | |
| } | |