Qwen3-4B-Instruct-2507 Magnetron Snapshot

This repository contains a Magnetron snapshot converted from the original Hugging Face model Qwen/Qwen3-4B-Instruct-2507.

The snapshot is intended for inference with the Magnetron runtime. Weights are stored in mixed FP8 mode using float8_e4m3fn weight tensors and per-tensor float32 scale tensors, while activations/default runtime dtype are kept in bfloat16.

Model details

  • Source model: Qwen/Qwen3-4B-Instruct-2507
  • Snapshot file: qwen3-4b-instruct-2507-f8e4m3fn.mag
  • Magnetron dtype mode: f8e4m3fn
  • Mixed FP8 weights: True
  • Tensor count: 650

Qwen3 configuration

Field Value
vocab_size 151936
hidden_size 2560
intermediate_size 9728
num_hidden_layers 36
num_attention_heads 32
num_key_value_heads 8
head_dim 128
max_position_embeddings 8192
rms_norm_eps 1e-06
tie_word_embeddings True
rope_theta 5000000.0
sliding_window None
bos_token_id 151643
eos_token_id 151645
sampling_strategy SamplingStrategy.GREEDY
quant_dtype magnetron.dtype.float8_e4m3fn

Tensor manifest

Name Shape DType
embed_tokens.weight 151936x2560 bf16
layers.0.input_layernorm.weight 2560 bf16
layers.0.mlp.down_proj.weight 2560x9728 f8e4m3fn
layers.0.mlp.down_proj.weight_scale 1 f32
layers.0.mlp.gate_proj.weight 9728x2560 f8e4m3fn
layers.0.mlp.gate_proj.weight_scale 1 f32
layers.0.mlp.up_proj.weight 9728x2560 f8e4m3fn
layers.0.mlp.up_proj.weight_scale 1 f32
layers.0.post_attention_layernorm.weight 2560 bf16
layers.0.self_attn.k_norm.weight 128 bf16
layers.0.self_attn.k_proj.weight 1024x2560 f8e4m3fn
layers.0.self_attn.k_proj.weight_scale 1 f32
layers.0.self_attn.o_proj.weight 2560x4096 f8e4m3fn
layers.0.self_attn.o_proj.weight_scale 1 f32
layers.0.self_attn.q_norm.weight 128 bf16
layers.0.self_attn.q_proj.weight 4096x2560 f8e4m3fn
layers.0.self_attn.q_proj.weight_scale 1 f32
layers.0.self_attn.v_proj.weight 1024x2560 f8e4m3fn
layers.0.self_attn.v_proj.weight_scale 1 f32
layers.1.input_layernorm.weight 2560 bf16
layers.1.mlp.down_proj.weight 2560x9728 f8e4m3fn
layers.1.mlp.down_proj.weight_scale 1 f32
layers.1.mlp.gate_proj.weight 9728x2560 f8e4m3fn
layers.1.mlp.gate_proj.weight_scale 1 f32
layers.1.mlp.up_proj.weight 9728x2560 f8e4m3fn
layers.1.mlp.up_proj.weight_scale 1 f32
layers.1.post_attention_layernorm.weight 2560 bf16
layers.1.self_attn.k_norm.weight 128 bf16
layers.1.self_attn.k_proj.weight 1024x2560 f8e4m3fn
layers.1.self_attn.k_proj.weight_scale 1 f32
layers.1.self_attn.o_proj.weight 2560x4096 f8e4m3fn
layers.1.self_attn.o_proj.weight_scale 1 f32
layers.1.self_attn.q_norm.weight 128 bf16
layers.1.self_attn.q_proj.weight 4096x2560 f8e4m3fn
layers.1.self_attn.q_proj.weight_scale 1 f32
layers.1.self_attn.v_proj.weight 1024x2560 f8e4m3fn
layers.1.self_attn.v_proj.weight_scale 1 f32
layers.10.input_layernorm.weight 2560 bf16
layers.10.mlp.down_proj.weight 2560x9728 f8e4m3fn
layers.10.mlp.down_proj.weight_scale 1 f32
layers.10.mlp.gate_proj.weight 9728x2560 f8e4m3fn
layers.10.mlp.gate_proj.weight_scale 1 f32
layers.10.mlp.up_proj.weight 9728x2560 f8e4m3fn
layers.10.mlp.up_proj.weight_scale 1 f32
layers.10.post_attention_layernorm.weight 2560 bf16
layers.10.self_attn.k_norm.weight 128 bf16
layers.10.self_attn.k_proj.weight 1024x2560 f8e4m3fn
layers.10.self_attn.k_proj.weight_scale 1 f32
layers.10.self_attn.o_proj.weight 2560x4096 f8e4m3fn
layers.10.self_attn.o_proj.weight_scale 1 f32
layers.10.self_attn.q_norm.weight 128 bf16
layers.10.self_attn.q_proj.weight 4096x2560 f8e4m3fn
layers.10.self_attn.q_proj.weight_scale 1 f32
layers.10.self_attn.v_proj.weight 1024x2560 f8e4m3fn
layers.10.self_attn.v_proj.weight_scale 1 f32
layers.11.input_layernorm.weight 2560 bf16
layers.11.mlp.down_proj.weight 2560x9728 f8e4m3fn
layers.11.mlp.down_proj.weight_scale 1 f32
layers.11.mlp.gate_proj.weight 9728x2560 f8e4m3fn
layers.11.mlp.gate_proj.weight_scale 1 f32
layers.11.mlp.up_proj.weight 9728x2560 f8e4m3fn
layers.11.mlp.up_proj.weight_scale 1 f32
layers.11.post_attention_layernorm.weight 2560 bf16
layers.11.self_attn.k_norm.weight 128 bf16
layers.11.self_attn.k_proj.weight 1024x2560 f8e4m3fn
layers.11.self_attn.k_proj.weight_scale 1 f32
layers.11.self_attn.o_proj.weight 2560x4096 f8e4m3fn
layers.11.self_attn.o_proj.weight_scale 1 f32
layers.11.self_attn.q_norm.weight 128 bf16
layers.11.self_attn.q_proj.weight 4096x2560 f8e4m3fn
layers.11.self_attn.q_proj.weight_scale 1 f32
layers.11.self_attn.v_proj.weight 1024x2560 f8e4m3fn
layers.11.self_attn.v_proj.weight_scale 1 f32
layers.12.input_layernorm.weight 2560 bf16
layers.12.mlp.down_proj.weight 2560x9728 f8e4m3fn
layers.12.mlp.down_proj.weight_scale 1 f32
layers.12.mlp.gate_proj.weight 9728x2560 f8e4m3fn
layers.12.mlp.gate_proj.weight_scale 1 f32
layers.12.mlp.up_proj.weight 9728x2560 f8e4m3fn
layers.12.mlp.up_proj.weight_scale 1 f32
layers.12.post_attention_layernorm.weight 2560 bf16
layers.12.self_attn.k_norm.weight 128 bf16
layers.12.self_attn.k_proj.weight 1024x2560 f8e4m3fn
layers.12.self_attn.k_proj.weight_scale 1 f32
layers.12.self_attn.o_proj.weight 2560x4096 f8e4m3fn
layers.12.self_attn.o_proj.weight_scale 1 f32
layers.12.self_attn.q_norm.weight 128 bf16
layers.12.self_attn.q_proj.weight 4096x2560 f8e4m3fn
layers.12.self_attn.q_proj.weight_scale 1 f32
layers.12.self_attn.v_proj.weight 1024x2560 f8e4m3fn
layers.12.self_attn.v_proj.weight_scale 1 f32
layers.13.input_layernorm.weight 2560 bf16
layers.13.mlp.down_proj.weight 2560x9728 f8e4m3fn
layers.13.mlp.down_proj.weight_scale 1 f32
layers.13.mlp.gate_proj.weight 9728x2560 f8e4m3fn
layers.13.mlp.gate_proj.weight_scale 1 f32
layers.13.mlp.up_proj.weight 9728x2560 f8e4m3fn
layers.13.mlp.up_proj.weight_scale 1 f32
layers.13.post_attention_layernorm.weight 2560 bf16
layers.13.self_attn.k_norm.weight 128 bf16
layers.13.self_attn.k_proj.weight 1024x2560 f8e4m3fn
layers.13.self_attn.k_proj.weight_scale 1 f32
layers.13.self_attn.o_proj.weight 2560x4096 f8e4m3fn
layers.13.self_attn.o_proj.weight_scale 1 f32
layers.13.self_attn.q_norm.weight 128 bf16
layers.13.self_attn.q_proj.weight 4096x2560 f8e4m3fn
layers.13.self_attn.q_proj.weight_scale 1 f32
layers.13.self_attn.v_proj.weight 1024x2560 f8e4m3fn
layers.13.self_attn.v_proj.weight_scale 1 f32
layers.14.input_layernorm.weight 2560 bf16
layers.14.mlp.down_proj.weight 2560x9728 f8e4m3fn
layers.14.mlp.down_proj.weight_scale 1 f32
layers.14.mlp.gate_proj.weight 9728x2560 f8e4m3fn
layers.14.mlp.gate_proj.weight_scale 1 f32
layers.14.mlp.up_proj.weight 9728x2560 f8e4m3fn
layers.14.mlp.up_proj.weight_scale 1 f32
layers.14.post_attention_layernorm.weight 2560 bf16
layers.14.self_attn.k_norm.weight 128 bf16
layers.14.self_attn.k_proj.weight 1024x2560 f8e4m3fn
layers.14.self_attn.k_proj.weight_scale 1 f32
layers.14.self_attn.o_proj.weight 2560x4096 f8e4m3fn
layers.14.self_attn.o_proj.weight_scale 1 f32
layers.14.self_attn.q_norm.weight 128 bf16
layers.14.self_attn.q_proj.weight 4096x2560 f8e4m3fn
layers.14.self_attn.q_proj.weight_scale 1 f32
layers.14.self_attn.v_proj.weight 1024x2560 f8e4m3fn
layers.14.self_attn.v_proj.weight_scale 1 f32
layers.15.input_layernorm.weight 2560 bf16
layers.15.mlp.down_proj.weight 2560x9728 f8e4m3fn
layers.15.mlp.down_proj.weight_scale 1 f32
layers.15.mlp.gate_proj.weight 9728x2560 f8e4m3fn
layers.15.mlp.gate_proj.weight_scale 1 f32
layers.15.mlp.up_proj.weight 9728x2560 f8e4m3fn
layers.15.mlp.up_proj.weight_scale 1 f32
layers.15.post_attention_layernorm.weight 2560 bf16
layers.15.self_attn.k_norm.weight 128 bf16
layers.15.self_attn.k_proj.weight 1024x2560 f8e4m3fn
layers.15.self_attn.k_proj.weight_scale 1 f32
layers.15.self_attn.o_proj.weight 2560x4096 f8e4m3fn
layers.15.self_attn.o_proj.weight_scale 1 f32
layers.15.self_attn.q_norm.weight 128 bf16
layers.15.self_attn.q_proj.weight 4096x2560 f8e4m3fn
layers.15.self_attn.q_proj.weight_scale 1 f32
layers.15.self_attn.v_proj.weight 1024x2560 f8e4m3fn
layers.15.self_attn.v_proj.weight_scale 1 f32
layers.16.input_layernorm.weight 2560 bf16
layers.16.mlp.down_proj.weight 2560x9728 f8e4m3fn
layers.16.mlp.down_proj.weight_scale 1 f32
layers.16.mlp.gate_proj.weight 9728x2560 f8e4m3fn
layers.16.mlp.gate_proj.weight_scale 1 f32
layers.16.mlp.up_proj.weight 9728x2560 f8e4m3fn
layers.16.mlp.up_proj.weight_scale 1 f32
layers.16.post_attention_layernorm.weight 2560 bf16
layers.16.self_attn.k_norm.weight 128 bf16
layers.16.self_attn.k_proj.weight 1024x2560 f8e4m3fn
layers.16.self_attn.k_proj.weight_scale 1 f32
layers.16.self_attn.o_proj.weight 2560x4096 f8e4m3fn
layers.16.self_attn.o_proj.weight_scale 1 f32
layers.16.self_attn.q_norm.weight 128 bf16
layers.16.self_attn.q_proj.weight 4096x2560 f8e4m3fn
layers.16.self_attn.q_proj.weight_scale 1 f32
layers.16.self_attn.v_proj.weight 1024x2560 f8e4m3fn
layers.16.self_attn.v_proj.weight_scale 1 f32
layers.17.input_layernorm.weight 2560 bf16
layers.17.mlp.down_proj.weight 2560x9728 f8e4m3fn
layers.17.mlp.down_proj.weight_scale 1 f32
layers.17.mlp.gate_proj.weight 9728x2560 f8e4m3fn
layers.17.mlp.gate_proj.weight_scale 1 f32
layers.17.mlp.up_proj.weight 9728x2560 f8e4m3fn
layers.17.mlp.up_proj.weight_scale 1 f32
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layers.17.self_attn.k_norm.weight 128 bf16
layers.17.self_attn.k_proj.weight 1024x2560 f8e4m3fn
layers.17.self_attn.k_proj.weight_scale 1 f32
layers.17.self_attn.o_proj.weight 2560x4096 f8e4m3fn
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layers.17.self_attn.q_norm.weight 128 bf16
layers.17.self_attn.q_proj.weight 4096x2560 f8e4m3fn
layers.17.self_attn.q_proj.weight_scale 1 f32
layers.17.self_attn.v_proj.weight 1024x2560 f8e4m3fn
layers.17.self_attn.v_proj.weight_scale 1 f32
layers.18.input_layernorm.weight 2560 bf16
layers.18.mlp.down_proj.weight 2560x9728 f8e4m3fn
layers.18.mlp.down_proj.weight_scale 1 f32
layers.18.mlp.gate_proj.weight 9728x2560 f8e4m3fn
layers.18.mlp.gate_proj.weight_scale 1 f32
layers.18.mlp.up_proj.weight 9728x2560 f8e4m3fn
layers.18.mlp.up_proj.weight_scale 1 f32
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layers.18.self_attn.k_norm.weight 128 bf16
layers.18.self_attn.k_proj.weight 1024x2560 f8e4m3fn
layers.18.self_attn.k_proj.weight_scale 1 f32
layers.18.self_attn.o_proj.weight 2560x4096 f8e4m3fn
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layers.18.self_attn.q_proj.weight_scale 1 f32
layers.18.self_attn.v_proj.weight 1024x2560 f8e4m3fn
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layers.19.input_layernorm.weight 2560 bf16
layers.19.mlp.down_proj.weight 2560x9728 f8e4m3fn
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layers.19.mlp.gate_proj.weight 9728x2560 f8e4m3fn
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layers.2.self_attn.q_proj.weight_scale 1 f32
layers.2.self_attn.v_proj.weight 1024x2560 f8e4m3fn
layers.2.self_attn.v_proj.weight_scale 1 f32
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