Instructions to use xquantize/k2-geoscience-7b-4bit-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use xquantize/k2-geoscience-7b-4bit-mlx with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("xquantize/k2-geoscience-7b-4bit-mlx") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use xquantize/k2-geoscience-7b-4bit-mlx with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "xquantize/k2-geoscience-7b-4bit-mlx" --prompt "Once upon a time"
- Atomic Chat
Download config.json from xquantize/k2-geoscience-7b-4bit-mlx: direct link, hf CLI and curl.
- Browser
- Download file 972 Bytes
-
https://huggingface.co/xquantize/k2-geoscience-7b-4bit-mlx/resolve/main/config.json
- Command line
-
hf download hf://xquantize/k2-geoscience-7b-4bit-mlx/config.json
-
curl -L -o config.json https://huggingface.co/xquantize/k2-geoscience-7b-4bit-mlx/resolve/main/config.json
972 Bytes
| { | |
| "architectures": [ | |
| "LlamaForCausalLM" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "hidden_act": "silu", | |
| "hidden_size": 4096, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 11008, | |
| "max_position_embeddings": 2048, | |
| "max_sequence_length": 2048, | |
| "mlp_bias": false, | |
| "model_type": "llama", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 32, | |
| "num_key_value_heads": 32, | |
| "pad_token_id": 0, | |
| "pretraining_tp": 1, | |
| "quantization": { | |
| "group_size": 64, | |
| "bits": 4, | |
| "mode": "affine" | |
| }, | |
| "quantization_config": { | |
| "group_size": 64, | |
| "bits": 4, | |
| "mode": "affine" | |
| }, | |
| "rms_norm_eps": 1e-06, | |
| "rope_scaling": null, | |
| "rope_theta": 10000.0, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "float16", | |
| "transformers_version": "4.41.2", | |
| "use_cache": true, | |
| "vocab_size": 32000 | |
| } |