Text Classification
MLX
Safetensors
English
mistral3
apple-silicon
reranker
text-ranking
multimodal
retrieval
nemotron
custom_code
Instructions to use netprojects/Nemotron-3.5-Rerank-8B-mlx-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use netprojects/Nemotron-3.5-Rerank-8B-mlx-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download netprojects/Nemotron-3.5-Rerank-8B-mlx-8bit --local-dir Nemotron-3.5-Rerank-8B-mlx-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download config.json from netprojects/Nemotron-3.5-Rerank-8B-mlx-8bit: direct link, hf CLI and curl.
- Browser
- Download file 3.2 kB
-
https://huggingface.co/netprojects/Nemotron-3.5-Rerank-8B-mlx-8bit/resolve/main/config.json
- Command line
-
hf download hf://netprojects/Nemotron-3.5-Rerank-8B-mlx-8bit/config.json
-
curl -L -o config.json https://huggingface.co/netprojects/Nemotron-3.5-Rerank-8B-mlx-8bit/resolve/main/config.json
3.2 kB
| { | |
| "architectures": [ | |
| "Mistral3ForSequenceClassification" | |
| ], | |
| "auto_map": { | |
| "AutoModelForSequenceClassification": "model.Mistral3ForSequenceClassification" | |
| }, | |
| "chunk_size_feed_forward": 0, | |
| "dtype": "bfloat16", | |
| "id2label": { | |
| "0": "LABEL_0" | |
| }, | |
| "image_token_index": 10, | |
| "is_encoder_decoder": false, | |
| "label2id": { | |
| "LABEL_0": 0 | |
| }, | |
| "model_type": "mistral3", | |
| "multimodal_projector_bias": false, | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "pooling": "avg", | |
| "problem_type": null, | |
| "projector_hidden_act": "gelu", | |
| "return_dict": true, | |
| "rope_theta": 1000000.0, | |
| "spatial_merge_size": 2, | |
| "text_config": { | |
| "_name_or_path": "", | |
| "architectures": [ | |
| "Ministral3ForSequenceClassification" | |
| ], | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 1, | |
| "chunk_size_feed_forward": 0, | |
| "dtype": "bfloat16", | |
| "eos_token_id": 2, | |
| "head_dim": 128, | |
| "hidden_act": "silu", | |
| "hidden_size": 4096, | |
| "id2label": { | |
| "0": "LABEL_0" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 14336, | |
| "is_causal": false, | |
| "is_encoder_decoder": false, | |
| "label2id": { | |
| "LABEL_0": 0 | |
| }, | |
| "max_position_embeddings": 262144, | |
| "model_type": "ministral3", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 34, | |
| "num_key_value_heads": 8, | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "pad_token_id": 11, | |
| "pooling": "avg", | |
| "problem_type": null, | |
| "return_dict": true, | |
| "rms_norm_eps": 1e-05, | |
| "rope_parameters": { | |
| "beta_fast": 32.0, | |
| "beta_slow": 1.0, | |
| "factor": 16.0, | |
| "llama_4_scaling_beta": 0.1, | |
| "mscale": 1.0, | |
| "mscale_all_dim": 1.0, | |
| "original_max_position_embeddings": 16384, | |
| "rope_theta": 1000000.0, | |
| "rope_type": "yarn", | |
| "type": "yarn", | |
| "apply_yarn_scaling": false | |
| }, | |
| "sliding_window": null, | |
| "tie_word_embeddings": false, | |
| "use_cache": false, | |
| "vocab_size": 131072, | |
| "llama_4_scaling": { | |
| "beta": 0.1, | |
| "original_max_position_embeddings": 16384 | |
| } | |
| }, | |
| "tie_word_embeddings": false, | |
| "transformers_version": "5.12.1", | |
| "use_cache": false, | |
| "vision_config": { | |
| "_name_or_path": "", | |
| "architectures": null, | |
| "attention_dropout": 0.0, | |
| "chunk_size_feed_forward": 0, | |
| "dtype": "bfloat16", | |
| "head_dim": 64, | |
| "hidden_act": "silu", | |
| "hidden_size": 1024, | |
| "id2label": { | |
| "0": "LABEL_0", | |
| "1": "LABEL_1" | |
| }, | |
| "image_size": 1540, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4096, | |
| "is_encoder_decoder": false, | |
| "label2id": { | |
| "LABEL_0": 0, | |
| "LABEL_1": 1 | |
| }, | |
| "model_type": "pixtral", | |
| "num_attention_heads": 16, | |
| "num_channels": 3, | |
| "num_hidden_layers": 24, | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "patch_size": 14, | |
| "problem_type": null, | |
| "return_dict": true, | |
| "rope_parameters": { | |
| "rope_theta": 10000.0, | |
| "rope_type": "default" | |
| } | |
| }, | |
| "vision_feature_layer": -1, | |
| "is_causal": false, | |
| "nemotron_mlx": { | |
| "kind": "rerank", | |
| "source": "Nemotron-3.5-Rerank-8B-BF16", | |
| "revision": "f88f8d9104726747791283ab156d2fcdb29e90a7", | |
| "bits": 8, | |
| "text_only": false, | |
| "kept_full_precision": [ | |
| "norms", | |
| "vision encoder and projector (bf16)", | |
| "score head (float32)" | |
| ] | |
| }, | |
| "quantization": { | |
| "group_size": 64, | |
| "bits": 8, | |
| "mode": "affine" | |
| } | |
| } |