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Willem27
/
Qwen3-VL-8B-Thinking
:latest
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Qwen3-VL-8B-Thinking:latest
...
/
model
f104d6d62c51 · 8.7GB
Metadata
general.architecture
Qwen3-VL-8B-Thinking
Qwen3-VL-8B-Thinking
attention_bias
false
false
bos_token_id
151643
151643
eos_token_id
151645
151645
head_dim
128
128
hidden_act
silu
silu
hidden_size
4096
4096
intermediate_size
12288
12288
max_position_embeddings
262144
262144
num_attention_heads
32
32
num_hidden_layers
36
36
num_key_value_heads
8
8
rms_norm_eps
1e-06
1e-06
rope_theta
5e+06
5e+06
tensor_count
399
399
tie_word_embeddings
false
false
version
3
3
vocab_size
151936
151936
Tensor
Name
Type
Shape
embed_tokens.weight
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F32
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[4096, 12288]
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Q8_0
Q8_0
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F32
F32
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F32
F32
[128]
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Q8_0
Q8_0
[4096, 1024]
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Q8_0
Q8_0
[4096, 4096]
layers.0.self_attn.q_norm.weight
F32
F32
[128]
layers.0.self_attn.q_proj.weight
Q8_0
Q8_0
[4096, 4096]
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Q8_0
Q8_0
[4096, 1024]
layers.1.input_layernorm.weight
F32
F32
[4096]
layers.1.mlp.down_proj.weight
Q8_0
Q8_0
[12288, 4096]
layers.1.mlp.gate_proj.weight
Q8_0
Q8_0
[4096, 12288]
layers.1.mlp.up_proj.weight
Q8_0
Q8_0
[4096, 12288]
layers.1.post_attention_layernorm.weight
F32
F32
[4096]
layers.1.self_attn.k_norm.weight
F32
F32
[128]
layers.1.self_attn.k_proj.weight
Q8_0
Q8_0
[4096, 1024]
layers.1.self_attn.o_proj.weight
Q8_0
Q8_0
[4096, 4096]
layers.1.self_attn.q_norm.weight
F32
F32
[128]
layers.1.self_attn.q_proj.weight
Q8_0
Q8_0
[4096, 4096]
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Q8_0
Q8_0
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F32
F32
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Q8_0
Q8_0
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Q8_0
Q8_0
[4096, 12288]
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Q8_0
Q8_0
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layers.2.post_attention_layernorm.weight
F32
F32
[4096]
layers.2.self_attn.k_norm.weight
F32
F32
[128]
layers.2.self_attn.k_proj.weight
Q8_0
Q8_0
[4096, 1024]
layers.2.self_attn.o_proj.weight
Q8_0
Q8_0
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F32
F32
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Q8_0
Q8_0
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Q8_0
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F32
F32
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Q8_0
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Q8_0
Q8_0
[4096, 12288]
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Q8_0
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F32
F32
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F32
F32
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Q8_0
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[4096, 1024]
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F32
F32
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Q8_0
Q8_0
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F32
F32
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F32
F32
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F32
F32
[128]
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Q8_0
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Q8_0
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F32
F32
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Q8_0
Q8_0
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F32
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F32
F32
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F32
F32
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