8.43 GB
10 files
Updated 30 days ago
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| Name | Size | Uploaded | Xet hash |
|---|---|---|---|
| .gitattributes | 1.57 kB xet | aacf151a | |
| README.md | 929 Bytes xet | dfad8d2f | |
| chat_template.jinja | 7.99 kB xet | c1ea8329 | |
| config.json | 2.97 kB xet | 3e6c0731 | |
| generation_config.json | 141 Bytes xet | a2aa90a8 | |
| model-00001-of-00002.safetensors | 5.36 GB xet | a158a84e | |
| model-00002-of-00002.safetensors | 3.06 GB xet | 05a3fe1c | |
| model.safetensors.index.json | 43.7 kB xet | 7030034a | |
| tokenizer.json | 20 MB xet | 458bcbf4 | |
| tokenizer_config.json | 1.34 kB xet | 5e359b79 |
shuhulx/Qwopus3.5-4B-Coder-Fable5-v1-MLX
This model shuhulx/Qwopus3.5-4B-Coder-Fable5-v1-MLX was converted to MLX format from shuhulx/Qwopus3.5-4B-Coder-Fable5-v1 using mlx-lm version 0.31.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("shuhulx/Qwopus3.5-4B-Coder-Fable5-v1-MLX")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True, return_dict=False,
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
- Total size
- 8.43 GB
- Files
- 10
- Last updated
- Jun 16
- Pre-warmed CDN
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