Buckets:
17 GB
12 files
Updated 5 months ago
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| Name | Size | Uploaded | Xet hash |
|---|---|---|---|
| .gitattributes | 1.57 kB xet | aacf151a | |
| README.md | 1.19 kB xet | 90356937 | |
| chat_template.jinja | 4.62 kB xet | c6e3994c | |
| config.json | 1.38 kB xet | 1ae1d713 | |
| generation_config.json | 230 Bytes xet | ef87a212 | |
| model-00001-of-00004.safetensors | 5.21 GB xet | 4306eaac | |
| model-00002-of-00004.safetensors | 5.14 GB xet | 915ac741 | |
| model-00003-of-00004.safetensors | 5.14 GB xet | c867b5e1 | |
| model-00004-of-00004.safetensors | 1.44 GB xet | 0a880676 | |
| model.safetensors.index.json | 23 kB xet | 968232b7 | |
| tokenizer.json | 17.9 MB xet | 0336d70f | |
| tokenizer_config.json | 315 Bytes xet | 13f556c3 |
usermma/Huihui-LFM2.5-8B-A1B-abliterated-mlx-fp16
The Model usermma/Huihui-LFM2.5-8B-A1B-abliterated-mlx-fp16 was converted to MLX format from huihui-ai/Huihui-LFM2.5-8B-A1B-abliterated using mlx-lm version 0.31.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("usermma/Huihui-LFM2.5-8B-A1B-abliterated-mlx-fp16")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
- Total size
- 17 GB
- Files
- 12
- Last updated
- Jun 7
- Pre-warmed CDN
- US EU US EU