Text Generation
MLX
Safetensors
English
llama
climate
earth-science
geoscience
quantized
4-bit precision
conversational
Instructions to use xquantize/climategpt-7b-4bit-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use xquantize/climategpt-7b-4bit-mlx 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("xquantize/climategpt-7b-4bit-mlx") 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 xquantize/climategpt-7b-4bit-mlx with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "xquantize/climategpt-7b-4bit-mlx"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "xquantize/climategpt-7b-4bit-mlx" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "xquantize/climategpt-7b-4bit-mlx", "messages": [ {"role": "user", "content": "Hello"} ] }' - Atomic Chat
File size: 655 Bytes
d23f3cb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | {
"add_prefix_space": null,
"backend": "tokenizers",
"bos_token": "<s>",
"clean_up_tokenization_spaces": false,
"cls_token": "<CLS>",
"eos_token": "<|im_end|>",
"extra_special_tokens": [
"<|im_start|>",
"<|im_end|>",
"[[0]]",
"[[1]]",
"[[2]]",
"[[3]]",
"[[4]]"
],
"is_local": true,
"local_files_only": false,
"mask_token": "<MASK>",
"model_max_length": 1000000000000000019884624838656,
"pad_token": "<PAD>",
"sep_token": "<SEP>",
"sp_model_kwargs": {},
"spaces_between_special_tokens": false,
"tokenizer_class": "LlamaTokenizer",
"unk_token": "<unk>",
"use_default_system_prompt": false
}
|