Instructions to use zerodegress/NanoJev-mlx-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use zerodegress/NanoJev-mlx-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download zerodegress/NanoJev-mlx-4bit --local-dir NanoJev-mlx-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Upload MANIFEST.json with huggingface_hub
Browse files- MANIFEST.json +34 -0
MANIFEST.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "nanojev-mlx-quant-v1",
|
| 3 |
+
"source_checkpoint": "NanoJev",
|
| 4 |
+
"source_weights_sha256": "fff62d1412685c1714eaa386acb603f9690371fb3cc8ad03dc41319302597c28",
|
| 5 |
+
"bits": 4,
|
| 6 |
+
"group_size": 64,
|
| 7 |
+
"include_embed": true,
|
| 8 |
+
"scales_dtype": "float16",
|
| 9 |
+
"note": "backbone linears + embed_tokens in MLX affine 4-bit (group 64); head and norms kept in fp16",
|
| 10 |
+
"quantized_params_by_bucket": {
|
| 11 |
+
"mlp": 264241152,
|
| 12 |
+
"self_attn": 176160768,
|
| 13 |
+
"embed_tokens": 155582464
|
| 14 |
+
},
|
| 15 |
+
"relative_max_error_by_bucket": {
|
| 16 |
+
"embed_tokens": {
|
| 17 |
+
"max": 0.06698610633611679,
|
| 18 |
+
"mean": 0.06698610633611679
|
| 19 |
+
},
|
| 20 |
+
"mlp": {
|
| 21 |
+
"max": 0.12449125945568085,
|
| 22 |
+
"mean": 0.06786140923698743
|
| 23 |
+
},
|
| 24 |
+
"self_attn": {
|
| 25 |
+
"max": 0.11749649047851562,
|
| 26 |
+
"mean": 0.07736335305630096
|
| 27 |
+
}
|
| 28 |
+
},
|
| 29 |
+
"packed_weights_bytes": 335857708,
|
| 30 |
+
"packed_weights_sha256": "332d47eb23c81b0370f580e87e0e55ef737ba1baa206a8d300eadf9617307b62",
|
| 31 |
+
"dequant_fp32_bytes": 2384507132,
|
| 32 |
+
"dequant_fp32_sha256": "2e5bf94be4fa2264e95e4ee3ba763d6240a41faaff6f6cd643f9e1eea29fe291",
|
| 33 |
+
"seconds": 87.46
|
| 34 |
+
}
|