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nemotron-3.5-bolt
:74b-a9b-iq2
2
Downloads
Updated
19 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:74b-a9b-iq2
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080e1ea41c95 · 998MB
Metadata
general.architecture
dflash
dflash
general.file_type
(!unknown_file_type 39!)
(!unknown_file_type 39!)
dflash.attention.causal
false
false
dflash.attention.head_count
32
32
dflash.attention.head_count_kv
2
2
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
262144
262144
dflash.conv_group_size
16
16
dflash.conv_kernel_size
2
2
dflash.embedding_length
4096
4096
dflash.feed_forward_length
12288
12288
dflash.rope.freq_base
10000
10000
dflash.selector_rank
0
0
dflash.selector_top_k
0
0
dflash.target_layers
[2, 19, 36, 52, 69, ...]
[2, 19, 36, 52, 69, ...]
tokenizer.ggml.add_bos_token
false
false
tokenizer.ggml.add_eos_token
false
false
tokenizer.ggml.bos_token_id
1
1
tokenizer.ggml.eos_token_id
11
11
tokenizer.ggml.mask_token_id
990
990
tokenizer.ggml.merges
[Ġ Ġ, Ġ t, e r, i n, Ġ ĠĠĠ, ...]
[Ġ Ġ, Ġ t, e r, i n, Ġ ĠĠĠ, ...]
tokenizer.ggml.model
gpt2
gpt2
tokenizer.ggml.padding_token_id
11
11
tokenizer.ggml.pre
pixtral
pixtral
tokenizer.ggml.token_type
[3, 3, 3, 3, 3, ...]
[3, 3, 3, 3, 3, ...]
tokenizer.ggml.tokens
[<unk>, <s>, </s>, [INST], [/INST], ...]
[<unk>, <s>, </s>, [INST], [/INST], ...]
tokenizer.ggml.unknown_token_id
0
0
lilicorr.candidate_topk
8
8
lilicorr.factor_dim
1024
1024
lilicorr.hidden_size
1024
1024
lilicorr.logit_scale
8
8
lilicorr.mlp_hidden_size
2048
2048
lilicorr.num_heads
8
8
lilicorr.num_layers
2
2
lilicorr.vector_eps
0.0001
0.0001
Tensor
Name
Type
Shape
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blk.0.attn_conv_base
F32
F32
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blk.0.attn_conv_proj.weight
BF16
BF16
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blk.0.attn_k.weight
BF16
BF16
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blk.0.attn_k_norm.weight
F32
F32
[128]
blk.0.attn_norm.weight
F32
F32
[4096]
blk.0.attn_output.weight
BF16
BF16
[4096, 4096]
blk.0.attn_q.weight
BF16
BF16
[4096, 4096]
blk.0.attn_q_norm.weight
F32
F32
[128]
blk.0.attn_sinks.weight
F32
F32
[32]
blk.0.attn_v.weight
BF16
BF16
[4096, 256]
blk.0.ffn_conv_base
F32
F32
[4096, 2, 2]
blk.0.ffn_conv_proj.weight
BF16
BF16
[4096, 1024]
blk.0.ffn_down.scale
F32
F32
[1]
blk.0.ffn_down.weight
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(!unknown_type 40!)
[12288, 4096]
blk.0.ffn_gate.scale
F32
F32
[1]
blk.0.ffn_gate.weight
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(!unknown_type 40!)
[4096, 12288]
blk.0.ffn_norm.weight
F32
F32
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blk.0.ffn_up.scale
F32
F32
[1]
blk.0.ffn_up.weight
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(!unknown_type 40!)
[4096, 12288]
blk.1
blk.1.attn_conv_base
F32
F32
[4096, 2, 2]
blk.1.attn_conv_proj.weight
BF16
BF16
[4096, 1024]
blk.1.attn_k.weight
BF16
BF16
[4096, 256]
blk.1.attn_k_norm.weight
F32
F32
[128]
blk.1.attn_norm.weight
F32
F32
[4096]
blk.1.attn_output.weight
BF16
BF16
[4096, 4096]
blk.1.attn_q.weight
BF16
BF16
[4096, 4096]
blk.1.attn_q_norm.weight
F32
F32
[128]
blk.1.attn_sinks.weight
F32
F32
[32]
blk.1.attn_v.weight
BF16
BF16
[4096, 256]
blk.1.ffn_conv_base
F32
F32
[4096, 2, 2]
blk.1.ffn_conv_proj.weight
BF16
BF16
[4096, 1024]
blk.1.ffn_down.scale
F32
F32
[1]
blk.1.ffn_down.weight
(!unknown_type 40!)
(!unknown_type 40!)
[12288, 4096]
blk.1.ffn_gate.scale
F32
F32
[1]
blk.1.ffn_gate.weight
(!unknown_type 40!)
(!unknown_type 40!)
[4096, 12288]
blk.1.ffn_norm.weight
F32
F32
[4096]
blk.1.ffn_up.scale
F32
F32
[1]
blk.1.ffn_up.weight
(!unknown_type 40!)
(!unknown_type 40!)
[4096, 12288]
blk.2
blk.2.attn_conv_base
F32
F32
[4096, 2, 2]
blk.2.attn_conv_proj.weight
BF16
BF16
[4096, 1024]
blk.2.attn_k.weight
BF16
BF16
[4096, 256]
blk.2.attn_k_norm.weight
F32
F32
[128]
blk.2.attn_norm.weight
F32
F32
[4096]
blk.2.attn_output.weight
BF16
BF16
[4096, 4096]
blk.2.attn_q.weight
BF16
BF16
[4096, 4096]
blk.2.attn_q_norm.weight
F32
F32
[128]
blk.2.attn_sinks.weight
F32
F32
[32]
blk.2.attn_v.weight
BF16
BF16
[4096, 256]
blk.2.ffn_conv_base
F32
F32
[4096, 2, 2]
blk.2.ffn_conv_proj.weight
BF16
BF16
[4096, 1024]
blk.2.ffn_down.scale
F32
F32
[1]
blk.2.ffn_down.weight
(!unknown_type 40!)
(!unknown_type 40!)
[12288, 4096]
blk.2.ffn_gate.scale
F32
F32
[1]
blk.2.ffn_gate.weight
(!unknown_type 40!)
(!unknown_type 40!)
[4096, 12288]
blk.2.ffn_norm.weight
F32
F32
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blk.2.ffn_up.scale
F32
F32
[1]
blk.2.ffn_up.weight
(!unknown_type 40!)
(!unknown_type 40!)
[4096, 12288]
blk.3
blk.3.attn_conv_base
F32
F32
[4096, 2, 2]
blk.3.attn_conv_proj.weight
BF16
BF16
[4096, 1024]
blk.3.attn_k.weight
BF16
BF16
[4096, 256]
blk.3.attn_k_norm.weight
F32
F32
[128]
blk.3.attn_norm.weight
F32
F32
[4096]
blk.3.attn_output.weight
BF16
BF16
[4096, 4096]
blk.3.attn_q.weight
BF16
BF16
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blk.3.attn_q_norm.weight
F32
F32
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blk.3.attn_sinks.weight
F32
F32
[32]
blk.3.attn_v.weight
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BF16
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blk.3.ffn_conv_base
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F32
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blk.3.ffn_conv_proj.weight
BF16
BF16
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blk.3.ffn_down.scale
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F32
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F32
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blk.3.ffn_norm.weight
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F32
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blk.3.ffn_up.scale
F32
F32
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blk.3.ffn_up.weight
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blk.4
blk.4.attn_conv_base
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F32
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blk.4.attn_conv_proj.weight
BF16
BF16
[4096, 1024]
blk.4.attn_k.weight
BF16
BF16
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blk.4.attn_k_norm.weight
F32
F32
[128]
blk.4.attn_norm.weight
F32
F32
[4096]
blk.4.attn_output.weight
BF16
BF16
[4096, 4096]
blk.4.attn_q.weight
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BF16
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blk.4.attn_q_norm.weight
F32
F32
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blk.4.attn_sinks.weight
F32
F32
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blk.4.attn_v.weight
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BF16
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blk.4.ffn_conv_base
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F32
[4096, 2, 2]
blk.4.ffn_conv_proj.weight
BF16
BF16
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blk.4.ffn_down.scale
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blk.4.ffn_down.weight
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blk.4.ffn_gate.scale
F32
F32
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blk.4.ffn_gate.weight
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(!unknown_type 40!)
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blk.4.ffn_norm.weight
F32
F32
[4096]
blk.4.ffn_up.scale
F32
F32
[1]
blk.4.ffn_up.weight
(!unknown_type 40!)
(!unknown_type 40!)
[4096, 12288]
blk.5
blk.5.attn_norm.weight
F32
F32
[1024]
blk.5.attn_output.bias
F32
F32
[1024]
blk.5.attn_output.scale
F32
F32
[1]
blk.5.attn_output.weight
(!unknown_type 40!)
(!unknown_type 40!)
[1024, 1024]
blk.5.ffn_down.bias
F32
F32
[1024]
blk.5.ffn_down.scale
F32
F32
[1]
blk.5.ffn_down.weight
(!unknown_type 40!)
(!unknown_type 40!)
[2048, 1024]
blk.5.ffn_norm.weight
F32
F32
[1024]
blk.5.ffn_up.bias
F32
F32
[2048]
blk.5.ffn_up.scale
F32
F32
[1]
blk.5.ffn_up.weight
(!unknown_type 40!)
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blk.6
blk.6.attn_norm.weight
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F32
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F32
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F32
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blk.6.ffn_norm.weight
F32
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blk.6.ffn_up.bias
F32
F32
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blk.6.ffn_up.scale
F32
F32
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blk.7.ffn_down.bias
F32
F32
[1024]
blk.7.ffn_down.weight
F32
F32
[1024, 1024]
blk.7.ffn_norm.bias
F32
F32
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blk.7.ffn_norm.weight
F32
F32
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blk.7.ffn_up.bias
F32
F32
[1024]
blk.7.ffn_up.weight
F32
F32
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enc.output_norm.weight
F32
F32
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fc.scale
F32
F32
[1]
fc.weight
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lilicorr.anchor_norm.weight
F32
F32
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lilicorr.anchor_out_head.bias
F32
F32
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lilicorr.anchor_out_head.weight
F32
F32
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lilicorr.attention_bias.bias
F32
F32
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lilicorr.context_proj.bias
F32
F32
[1024]
lilicorr.context_proj.scale
F32
F32
[1]
lilicorr.context_proj.weight
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lilicorr.factor_input_proj.bias
F32
F32
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lilicorr.factor_input_proj.weight
F32
F32
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lilicorr.in_head.bias
F32
F32
[1024]
lilicorr.in_head.weight
F32
F32
[1024, 1024]
lilicorr.layers.0.attn.in_proj.bias
F32
F32
[3072]
lilicorr.layers.0.attn.in_proj.weight
F32
F32
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lilicorr.layers.1.attn.in_proj.bias
F32
F32
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lilicorr.layers.1.attn.in_proj.weight
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F32
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lilicorr.out_head.bias
F32
F32
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lilicorr.out_head.weight
F32
F32
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lilicorr.output_norm.weight
F32
F32
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lilicorr.pass_hidden_proj.bias
F32
F32
[1024]
lilicorr.pass_hidden_proj.scale
F32
F32
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lilicorr.pass_hidden_proj.weight
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lilicorr.rank_embedding.weight
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F32
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lilicorr.slot_embedding.weight
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lilicorr.token_proj.bias
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F32
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lilicorr.token_proj.scale
F32
F32
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lilicorr.token_proj.weight
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output_norm.weight
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