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nemotron-3.5-bolt
:e4b
9,522
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Updated
21 minutes ago
Nemotron 3.5 Bolt is NVIDIA’s compact vision-language model for local coding, reasoning, and tool use.
Nemotron 3.5 Bolt is NVIDIA’s compact vision-language model for local coding, reasoning, and tool use.
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nemotron-3.5-bolt:e4b
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8103aa42fd31 · 737MB
Metadata
general.architecture
dflash
dflash
general.file_type
BF16
BF16
dflash.attention.causal
false
false
dflash.attention.head_count
32
32
dflash.attention.head_count_kv
8
8
dflash.attention.key_length
128
128
dflash.attention.layer_norm_rms_epsilon
1e-06
1e-06
dflash.attention.sliding_window
1024
1024
dflash.attention.sliding_window_pattern
[true, true, true, true, true]
[true, true, true, true, true]
dflash.attention.value_length
128
128
dflash.block_count
5
5
dflash.block_size
8
8
dflash.context_length
131072
131072
dflash.embedding_length
2560
2560
dflash.embedding_scale
50.596443
50.596443
dflash.feed_forward_length
5120
5120
dflash.rope.freq_base
1e+06
1e+06
dflash.target_layers
[6, 12, 18, 24, 36]
[6, 12, 18, 24, 36]
tokenizer.ggml.add_bos_token
true
true
tokenizer.ggml.add_space_prefix
false
false
tokenizer.ggml.bos_token_id
2
2
tokenizer.ggml.eos_token_id
1
1
tokenizer.ggml.mask_token_id
4
4
tokenizer.ggml.merges
[ , ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁, , , ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁, ...]
[ , ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁, , , ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁, ...]
tokenizer.ggml.model
gemma4
gemma4
tokenizer.ggml.padding_token_id
0
0
tokenizer.ggml.scores
[-1000, -1000, -1000, -1000, -1000, ...]
[-1000, -1000, -1000, -1000, -1000, ...]
tokenizer.ggml.token_type
[3, 3, 3, 3, 3, ...]
[3, 3, 3, 3, 3, ...]
tokenizer.ggml.tokens
[<pad>, <eos>, <bos>, <unk>, <mask>, ...]
[<pad>, <eos>, <bos>, <unk>, <mask>, ...]
tokenizer.ggml.unknown_token_id
3
3
Tensor
Name
Type
Shape
blk.0
blk.0.attn_k.weight
BF16
BF16
[2560, 1024]
blk.0.attn_k_norm.weight
F32
F32
[128]
blk.0.attn_norm.weight
F32
F32
[2560]
blk.0.attn_output.weight
BF16
BF16
[4096, 2560]
blk.0.attn_q.weight
BF16
BF16
[2560, 4096]
blk.0.attn_q_norm.weight
F32
F32
[128]
blk.0.attn_v.weight
BF16
BF16
[2560, 1024]
blk.0.ffn_down.weight
BF16
BF16
[5120, 2560]
blk.0.ffn_gate.weight
BF16
BF16
[2560, 5120]
blk.0.ffn_norm.weight
F32
F32
[2560]
blk.0.ffn_up.weight
BF16
BF16
[2560, 5120]
blk.1
blk.1.attn_k.weight
BF16
BF16
[2560, 1024]
blk.1.attn_k_norm.weight
F32
F32
[128]
blk.1.attn_norm.weight
F32
F32
[2560]
blk.1.attn_output.weight
BF16
BF16
[4096, 2560]
blk.1.attn_q.weight
BF16
BF16
[2560, 4096]
blk.1.attn_q_norm.weight
F32
F32
[128]
blk.1.attn_v.weight
BF16
BF16
[2560, 1024]
blk.1.ffn_down.weight
BF16
BF16
[5120, 2560]
blk.1.ffn_gate.weight
BF16
BF16
[2560, 5120]
blk.1.ffn_norm.weight
F32
F32
[2560]
blk.1.ffn_up.weight
BF16
BF16
[2560, 5120]
blk.2
blk.2.attn_k.weight
BF16
BF16
[2560, 1024]
blk.2.attn_k_norm.weight
F32
F32
[128]
blk.2.attn_norm.weight
F32
F32
[2560]
blk.2.attn_output.weight
BF16
BF16
[4096, 2560]
blk.2.attn_q.weight
BF16
BF16
[2560, 4096]
blk.2.attn_q_norm.weight
F32
F32
[128]
blk.2.attn_v.weight
BF16
BF16
[2560, 1024]
blk.2.ffn_down.weight
BF16
BF16
[5120, 2560]
blk.2.ffn_gate.weight
BF16
BF16
[2560, 5120]
blk.2.ffn_norm.weight
F32
F32
[2560]
blk.2.ffn_up.weight
BF16
BF16
[2560, 5120]
blk.3
blk.3.attn_k.weight
BF16
BF16
[2560, 1024]
blk.3.attn_k_norm.weight
F32
F32
[128]
blk.3.attn_norm.weight
F32
F32
[2560]
blk.3.attn_output.weight
BF16
BF16
[4096, 2560]
blk.3.attn_q.weight
BF16
BF16
[2560, 4096]
blk.3.attn_q_norm.weight
F32
F32
[128]
blk.3.attn_v.weight
BF16
BF16
[2560, 1024]
blk.3.ffn_down.weight
BF16
BF16
[5120, 2560]
blk.3.ffn_gate.weight
BF16
BF16
[2560, 5120]
blk.3.ffn_norm.weight
F32
F32
[2560]
blk.3.ffn_up.weight
BF16
BF16
[2560, 5120]
blk.4
blk.4.attn_k.weight
BF16
BF16
[2560, 1024]
blk.4.attn_k_norm.weight
F32
F32
[128]
blk.4.attn_norm.weight
F32
F32
[2560]
blk.4.attn_output.weight
BF16
BF16
[4096, 2560]
blk.4.attn_q.weight
BF16
BF16
[2560, 4096]
blk.4.attn_q_norm.weight
F32
F32
[128]
blk.4.attn_v.weight
BF16
BF16
[2560, 1024]
blk.4.ffn_down.weight
BF16
BF16
[5120, 2560]
blk.4.ffn_gate.weight
BF16
BF16
[2560, 5120]
blk.4.ffn_norm.weight
F32
F32
[2560]
blk.4.ffn_up.weight
BF16
BF16
[2560, 5120]
enc.output_norm.weight
F32
F32
[2560]
fc.weight
BF16
BF16
[12800, 2560]
output_norm.weight
F32
F32
[2560]