Hugging Face's logo

osmapi
/
Step-3.7-Flash-MXFP4-mlx

Image-Text-to-Text
MLX
Safetensors
English
step3p7
stepfun
step-3.7-flash
vision-language
multimodal
Mixture of Experts
quantized
mxfp4
microscaling
fp4
apple-silicon
text-generation
conversational
custom_code
4-bit precision
Model card Files
xet
 Community
Step-3.7-Flash-MXFP4-mlx / config.json
junafinity's picture
junafinity
Add MXFP4 model card and sidecars
6070775 verified
raw
history blame contribute delete
6.91 kB
{
 "architectures": [
 "Step3p7ForConditionalGeneration"
 ],
 "auto_map": {
 "AutoConfig": "configuration_step3p7.Step3p7Config",
 "AutoProcessor": "processing_step3.Step3VLProcessor",
 "AutoModelForCausalLM": "modeling_step3p7.Step3p7ForConditionalGeneration"
 },
 "model_type": "step3p7",
 "im_end_token": "<im_end>",
 "im_patch_token": "<im_patch>",
 "im_start_token": "<im_start>",
 "image_token_len": 169,
 "patch_token_len": 81,
 "image_token_id": 128001,
 "understand_projector_stride": 2,
 "use_im_start_end": "true",
 "vision_select_layer": -1,
 "projector_bias": false,
 "vision_config": {
 "model_type": "perception_encoder",
 "image_size": 728,
 "patch_size": 14,
 "width": 1536,
 "layers": 47,
 "heads": 16,
 "pool_type": "none",
 "output_dim": null,
 "use_cls_token": false,
 "ls_init_value": 0.1,
 "use_ln_post": false,
 "hidden_act": "quick_gelu"
 },
 "text_config": {
 "architectures": [
 "Step3p5ForCausalLM"
 ],
 "rope_scaling": {
 "rope_type": "llama3",
 "factor": 2.0,
 "original_max_position_embeddings": 131072,
 "low_freq_factor": 1.0,
 "high_freq_factor": 32.0
 },
 "yarn_only_types": [
 "full_attention"
 ],
 "model_type": "step3p5",
 "hidden_size": 4096,
 "intermediate_size": 11264,
 "num_hidden_layers": 45,
 "max_seq_len": 262144,
 "max_position_embeddings": 262144,
 "vocab_size": 128896,
 "torch_dtype": "bfloat16",
 "use_qk_norm": false,
 "moe_layers_enum": "3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44",
 "use_mfa": false,
 "num_attention_heads": 64,
 "num_attention_groups": 8,
 "head_dim": 128,
 "use_moe": true,
 "moe_num_experts": 288,
 "moe_top_k": 8,
 "moe_intermediate_size": 1280,
 "share_expert_dim": 1280,
 "moe_layer_offset": 0,
 "moe_every_n_layer": 1,
 "norm_expert_weight": true,
 "moe_router_activation": "sigmoid",
 "moe_router_scaling_factor": 3.0,
 "att_impl_type": "GQA",
 "num_nextn_predict_layers": 3,
 "rope_theta": [
 5000000.0,
 10000.0,
 10000.0,
 10000.0,
 5000000.0,
 10000.0,
 10000.0,
 10000.0,
 5000000.0,
 10000.0,
 10000.0,
 10000.0,
 5000000.0,
 10000.0,
 10000.0,
 10000.0,
 5000000.0,
 10000.0,
 10000.0,
 10000.0,
 5000000.0,
 10000.0,
 10000.0,
 10000.0,
 5000000.0,
 10000.0,
 10000.0,
 10000.0,
 5000000.0,
 10000.0,
 10000.0,
 10000.0,
 5000000.0,
 10000.0,
 10000.0,
 10000.0,
 5000000.0,
 10000.0,
 10000.0,
 10000.0,
 5000000.0,
 10000.0,
 10000.0,
 10000.0,
 5000000.0,
 10000.0,
 10000.0,
 10000.0
 ],
 "use_head_wise_attn_gate": true,
 "sliding_window": 512,
 "use_moe_router_bias": true,
 "need_fp32_gate": true,
 "sink": false,
 "layer_types": [
 "full_attention",
 "sliding_attention",
 "sliding_attention",
 "sliding_attention",
 "full_attention",
 "sliding_attention",
 "sliding_attention",
 "sliding_attention",
 "full_attention",
 "sliding_attention",
 "sliding_attention",
 "sliding_attention",
 "full_attention",
 "sliding_attention",
 "sliding_attention",
 "sliding_attention",
 "full_attention",
 "sliding_attention",
 "sliding_attention",
 "sliding_attention",
 "full_attention",
 "sliding_attention",
 "sliding_attention",
 "sliding_attention",
 "full_attention",
 "sliding_attention",
 "sliding_attention",
 "sliding_attention",
 "full_attention",
 "sliding_attention",
 "sliding_attention",
 "sliding_attention",
 "full_attention",
 "sliding_attention",
 "sliding_attention",
 "sliding_attention",
 "full_attention",
 "sliding_attention",
 "sliding_attention",
 "sliding_attention",
 "full_attention",
 "sliding_attention",
 "sliding_attention",
 "sliding_attention",
 "full_attention",
 "sliding_attention",
 "sliding_attention",
 "sliding_attention"
 ],
 "use_rope_layers": [],
 "partial_rotary_factors": [
 0.5,
 1.0,
 1.0,
 1.0,
 0.5,
 1.0,
 1.0,
 1.0,
 0.5,
 1.0,
 1.0,
 1.0,
 0.5,
 1.0,
 1.0,
 1.0,
 0.5,
 1.0,
 1.0,
 1.0,
 0.5,
 1.0,
 1.0,
 1.0,
 0.5,
 1.0,
 1.0,
 1.0,
 0.5,
 1.0,
 1.0,
 1.0,
 0.5,
 1.0,
 1.0,
 1.0,
 0.5,
 1.0,
 1.0,
 1.0,
 0.5,
 1.0,
 1.0,
 1.0,
 0.5,
 1.0,
 1.0,
 1.0
 ],
 "eos_token_id": [
 1,
 2,
 128007
 ],
 "bos_token_id": 0,
 "attention_other_setting": {
 "attention_type": "sliding_attention",
 "num_attention_heads": 96,
 "num_attention_groups": 8,
 "head_dim": 128,
 "true_head_dim": 128
 },
 "swiglu_limits": [
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 7,
 7,
 0.0,
 0.0,
 0.0
 ],
 "swiglu_limits_shared": [
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 0.0,
 16,
 16,
 0.0,
 0.0,
 0.0
 ]
 },
 "quantization": {
 "group_size": 32,
 "bits": 4,
 "mode": "mxfp4"
 },
 "quantization_config": {
 "group_size": 32,
 "bits": 4,
 "mode": "mxfp4"
 },
 "mlx_stepfun_tensor_quantization": {
 "method": "tensor_level_fallback",
 "format": "mlx_mxfp4",
 "bits": 4,
 "group_size": 32,
 "mode": "mxfp4",
 "quantized_weight_count": 702,
 "note": "Generated without a native Step3p7 MLX model class. Runtime support requires a Step3p7 implementation that consumes standard MLX quantized weight/scales tensors, plus biases for affine mode."
 }
}