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firesmasher-c6
/
opentalon-spark-flash
:latest
13
Downloads
Updated
4 days ago
OpenTalon is an ai model using gemma4 12b. This includes capabilities of gemma4 while remaining skilled with TalonAI's instructions.
OpenTalon is an ai model using gemma4 12b. This includes capabilities of gemma4 while remaining skilled with TalonAI's instructions.
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vision
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thinking
opentalon-spark-flash:latest
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7008a656050b · 465MB
Metadata
general.architecture
gemma4-assistant
gemma4-assistant
general.file_type
Q8_0
Q8_0
gemma4-assistant.attention.head_count
16
16
gemma4-assistant.attention.head_count_kv
[8, 8, 8, 1]
[8, 8, 8, 1]
gemma4-assistant.attention.key_length
512
512
gemma4-assistant.attention.key_length_swa
256
256
gemma4-assistant.attention.layer_norm_rms_epsilon
1e-06
1e-06
gemma4-assistant.attention.shared_kv_layers
4
4
gemma4-assistant.attention.sliding_window
1024
1024
gemma4-assistant.attention.sliding_window_pattern
[true, true, true, false]
[true, true, true, false]
gemma4-assistant.attention.value_length
512
512
gemma4-assistant.attention.value_length_swa
256
256
gemma4-assistant.block_count
4
4
gemma4-assistant.context_length
262144
262144
gemma4-assistant.embedding_length
1024
1024
gemma4-assistant.embedding_length_out
3840
3840
gemma4-assistant.embedding_length_per_layer_input
0
0
gemma4-assistant.feed_forward_length
8192
8192
gemma4-assistant.nextn_predict_layers
4
4
gemma4-assistant.rope.dimension_count
512
512
gemma4-assistant.rope.dimension_count_swa
256
256
gemma4-assistant.rope.freq_base
1e+06
1e+06
gemma4-assistant.rope.freq_base_swa
10000
10000
tokenizer.ggml.add_bos_token
true
true
tokenizer.ggml.add_sep_token
false
false
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
token_embd.weight
Q8_0
Q8_0
[1024, 262144]
blk.0
blk.0.attn_norm.weight
F32
F32
[1024]
blk.0.attn_output.weight
Q8_0
Q8_0
[4096, 1024]
blk.0.attn_q.weight
Q8_0
Q8_0
[1024, 4096]
blk.0.attn_q_norm.weight
F32
F32
[256]
blk.0.ffn_down.weight
Q8_0
Q8_0
[8192, 1024]
blk.0.ffn_gate.weight
Q8_0
Q8_0
[1024, 8192]
blk.0.ffn_norm.weight
F32
F32
[1024]
blk.0.ffn_up.weight
Q8_0
Q8_0
[1024, 8192]
blk.0.layer_output_scale.weight
F32
F32
[1]
blk.0.post_attention_norm.weight
F32
F32
[1024]
blk.0.post_ffw_norm.weight
F32
F32
[1024]
blk.1
blk.1.attn_norm.weight
F32
F32
[1024]
blk.1.attn_output.weight
Q8_0
Q8_0
[4096, 1024]
blk.1.attn_q.weight
Q8_0
Q8_0
[1024, 4096]
blk.1.attn_q_norm.weight
F32
F32
[256]
blk.1.ffn_down.weight
Q8_0
Q8_0
[8192, 1024]
blk.1.ffn_gate.weight
Q8_0
Q8_0
[1024, 8192]
blk.1.ffn_norm.weight
F32
F32
[1024]
blk.1.ffn_up.weight
Q8_0
Q8_0
[1024, 8192]
blk.1.layer_output_scale.weight
F32
F32
[1]
blk.1.post_attention_norm.weight
F32
F32
[1024]
blk.1.post_ffw_norm.weight
F32
F32
[1024]
blk.2
blk.2.attn_norm.weight
F32
F32
[1024]
blk.2.attn_output.weight
Q8_0
Q8_0
[4096, 1024]
blk.2.attn_q.weight
Q8_0
Q8_0
[1024, 4096]
blk.2.attn_q_norm.weight
F32
F32
[256]
blk.2.ffn_down.weight
Q8_0
Q8_0
[8192, 1024]
blk.2.ffn_gate.weight
Q8_0
Q8_0
[1024, 8192]
blk.2.ffn_norm.weight
F32
F32
[1024]
blk.2.ffn_up.weight
Q8_0
Q8_0
[1024, 8192]
blk.2.layer_output_scale.weight
F32
F32
[1]
blk.2.post_attention_norm.weight
F32
F32
[1024]
blk.2.post_ffw_norm.weight
F32
F32
[1024]
blk.3
blk.3.attn_norm.weight
F32
F32
[1024]
blk.3.attn_output.weight
Q8_0
Q8_0
[8192, 1024]
blk.3.attn_q.weight
Q8_0
Q8_0
[1024, 8192]
blk.3.attn_q_norm.weight
F32
F32
[512]
blk.3.ffn_down.weight
Q8_0
Q8_0
[8192, 1024]
blk.3.ffn_gate.weight
Q8_0
Q8_0
[1024, 8192]
blk.3.ffn_norm.weight
F32
F32
[1024]
blk.3.ffn_up.weight
Q8_0
Q8_0
[1024, 8192]
blk.3.layer_output_scale.weight
F32
F32
[1]
blk.3.post_attention_norm.weight
F32
F32
[1024]
blk.3.post_ffw_norm.weight
F32
F32
[1024]
nextn.post_projection.weight
Q8_0
Q8_0
[1024, 3840]
nextn.pre_projection.weight
Q8_0
Q8_0
[7680, 1024]
rope_freqs.weight
F32
F32
[256]
output_norm.weight
F32
F32
[1024]