Sentence Similarity
Safetensors
vllm
ministral3
nvfp4
modelopt
fp4
blackwell
embeddings
text-embeddings
feature-extraction
retrieval
semantic-search
rag
mteb
nemotron
quantized
4-bit precision
information-retrieval
dense-retrieval
vector-search
matryoshka
arxiv:2502.13595
Eval Results (legacy)
8-bit precision
| { | |
| "architectures": [ | |
| "Ministral3Model" | |
| ], | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 1, | |
| "dtype": "bfloat16", | |
| "eos_token_id": 2, | |
| "head_dim": 128, | |
| "hidden_act": "silu", | |
| "hidden_size": 4096, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 14336, | |
| "is_causal": false, | |
| "llama_4_scaling": { | |
| "beta": 0.1, | |
| "original_max_position_embeddings": 16384 | |
| }, | |
| "max_position_embeddings": 262144, | |
| "model_type": "ministral3", | |
| "nemo_version": "0.3.0rc0", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 34, | |
| "num_key_value_heads": 8, | |
| "pad_token_id": 11, | |
| "pooling": "avg", | |
| "rms_norm_eps": 1e-05, | |
| "rope_parameters": { | |
| "apply_yarn_scaling": false, | |
| "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" | |
| }, | |
| "sliding_window": null, | |
| "tie_word_embeddings": false, | |
| "transformers_version": "5.14.1", | |
| "use_cache": true, | |
| "vocab_size": 131072, | |
| "quantization_config": { | |
| "config_groups": { | |
| "group_0": { | |
| "input_activations": { | |
| "dynamic": false, | |
| "num_bits": 4, | |
| "type": "float", | |
| "group_size": 16 | |
| }, | |
| "weights": { | |
| "dynamic": false, | |
| "num_bits": 4, | |
| "type": "float", | |
| "group_size": 16 | |
| }, | |
| "targets": [ | |
| "Linear" | |
| ] | |
| } | |
| }, | |
| "ignore": [ | |
| "embed_tokens", | |
| "layers.0.self_attn*", | |
| "layers.1.self_attn*", | |
| "layers.10.self_attn*", | |
| "layers.11.self_attn*", | |
| "layers.12.self_attn*", | |
| "layers.13.self_attn*", | |
| "layers.14.self_attn*", | |
| "layers.15.self_attn*", | |
| "layers.16.self_attn*", | |
| "layers.17.self_attn*", | |
| "layers.18.self_attn*", | |
| "layers.19.self_attn*", | |
| "layers.2.self_attn*", | |
| "layers.20.self_attn*", | |
| "layers.21.self_attn*", | |
| "layers.22.self_attn*", | |
| "layers.23.self_attn*", | |
| "layers.24.self_attn*", | |
| "layers.25.self_attn*", | |
| "layers.26.self_attn*", | |
| "layers.27.self_attn*", | |
| "layers.28.self_attn*", | |
| "layers.29.self_attn*", | |
| "layers.3.self_attn*", | |
| "layers.30.self_attn*", | |
| "layers.31.self_attn*", | |
| "layers.32.self_attn*", | |
| "layers.33.self_attn*", | |
| "layers.4.self_attn*", | |
| "layers.5.self_attn*", | |
| "layers.6.self_attn*", | |
| "layers.7.self_attn*", | |
| "layers.8.self_attn*", | |
| "layers.9.self_attn*" | |
| ], | |
| "quant_algo": "NVFP4", | |
| "producer": { | |
| "name": "modelopt", | |
| "version": "0.45.0" | |
| }, | |
| "quant_method": "modelopt" | |
| } | |
| } |