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mannix
/
jackod-9b-coder-dflash
:IQ2_M
65
Downloads
Updated
yesterday
Four-way omnimerge_v2 merge over Qwen3.5-9B (DeltaCoder 0.55 / Qwopus3.5-9B-Coder 0.30 / Ornith-1.5-9B 0.15), tuned for multi-turn agentic coding — it finishes tasks instead of looping. 9B dense, DFlash drafter
Four-way omnimerge_v2 merge over Qwen3.5-9B (DeltaCoder 0.55 / Qwopus3.5-9B-Coder 0.30 / Ornith-1.5-9B 0.15), tuned for multi-turn agentic coding — it finishes tasks instead of looping. 9B dense, DFlash drafter
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27b9d18e605a · 1.4GB
Metadata
general.architecture
dflash
dflash
general.file_type
Q8_0
Q8_0
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
4096
4096
dflash.attention.sliding_window_pattern
[true, true, true, true, true, ...]
[true, true, true, true, true, ...]
dflash.attention.value_length
128
128
dflash.block_count
6
6
dflash.block_size
16
16
dflash.context_length
262144
262144
dflash.embedding_length
4096
4096
dflash.feed_forward_length
12288
12288
dflash.rope.freq_base
1e+07
1e+07
dflash.target_layers
[2, 6, 10, 14, 18, ...]
[2, 6, 10, 14, 18, ...]
tokenizer.ggml.add_bos_token
false
false
tokenizer.ggml.eos_token_id
248046
248046
tokenizer.ggml.mask_token_id
248077
248077
tokenizer.ggml.merges
[Ġ Ġ, ĠĠ ĠĠ, i n, Ġ t, ĠĠĠĠ ĠĠĠĠ, ...]
[Ġ Ġ, ĠĠ ĠĠ, i n, Ġ t, ĠĠĠĠ ĠĠĠĠ, ...]
tokenizer.ggml.model
gpt2
gpt2
tokenizer.ggml.padding_token_id
248044
248044
tokenizer.ggml.pre
qwen35
qwen35
tokenizer.ggml.token_type
[1, 1, 1, 1, 1, ...]
[1, 1, 1, 1, 1, ...]
tokenizer.ggml.tokens
[!, ", #, $, %, ...]
[!, ", #, $, %, ...]
Tensor
Name
Type
Shape
blk.0
blk.0.attn_k.weight
Q8_0
Q8_0
[4096, 1024]
blk.0.attn_k_norm.weight
F32
F32
[128]
blk.0.attn_norm.weight
F32
F32
[4096]
blk.0.attn_output.weight
Q8_0
Q8_0
[4096, 4096]
blk.0.attn_q.weight
Q8_0
Q8_0
[4096, 4096]
blk.0.attn_q_norm.weight
F32
F32
[128]
blk.0.attn_v.weight
Q8_0
Q8_0
[4096, 1024]
blk.0.ffn_down.weight
Q8_0
Q8_0
[12288, 4096]
blk.0.ffn_gate.weight
Q8_0
Q8_0
[4096, 12288]
blk.0.ffn_norm.weight
F32
F32
[4096]
blk.0.ffn_up.weight
Q8_0
Q8_0
[4096, 12288]
blk.1
blk.1.attn_k.weight
Q8_0
Q8_0
[4096, 1024]
blk.1.attn_k_norm.weight
F32
F32
[128]
blk.1.attn_norm.weight
F32
F32
[4096]
blk.1.attn_output.weight
Q8_0
Q8_0
[4096, 4096]
blk.1.attn_q.weight
Q8_0
Q8_0
[4096, 4096]
blk.1.attn_q_norm.weight
F32
F32
[128]
blk.1.attn_v.weight
Q8_0
Q8_0
[4096, 1024]
blk.1.ffn_down.weight
Q8_0
Q8_0
[12288, 4096]
blk.1.ffn_gate.weight
Q8_0
Q8_0
[4096, 12288]
blk.1.ffn_norm.weight
F32
F32
[4096]
blk.1.ffn_up.weight
Q8_0
Q8_0
[4096, 12288]
blk.2
blk.2.attn_k.weight
Q8_0
Q8_0
[4096, 1024]
blk.2.attn_k_norm.weight
F32
F32
[128]
blk.2.attn_norm.weight
F32
F32
[4096]
blk.2.attn_output.weight
Q8_0
Q8_0
[4096, 4096]
blk.2.attn_q.weight
Q8_0
Q8_0
[4096, 4096]
blk.2.attn_q_norm.weight
F32
F32
[128]
blk.2.attn_v.weight
Q8_0
Q8_0
[4096, 1024]
blk.2.ffn_down.weight
Q8_0
Q8_0
[12288, 4096]
blk.2.ffn_gate.weight
Q8_0
Q8_0
[4096, 12288]
blk.2.ffn_norm.weight
F32
F32
[4096]
blk.2.ffn_up.weight
Q8_0
Q8_0
[4096, 12288]
blk.3
blk.3.attn_k.weight
Q8_0
Q8_0
[4096, 1024]
blk.3.attn_k_norm.weight
F32
F32
[128]
blk.3.attn_norm.weight
F32
F32
[4096]
blk.3.attn_output.weight
Q8_0
Q8_0
[4096, 4096]
blk.3.attn_q.weight
Q8_0
Q8_0
[4096, 4096]
blk.3.attn_q_norm.weight
F32
F32
[128]
blk.3.attn_v.weight
Q8_0
Q8_0
[4096, 1024]
blk.3.ffn_down.weight
Q8_0
Q8_0
[12288, 4096]
blk.3.ffn_gate.weight
Q8_0
Q8_0
[4096, 12288]
blk.3.ffn_norm.weight
F32
F32
[4096]
blk.3.ffn_up.weight
Q8_0
Q8_0
[4096, 12288]
blk.4
blk.4.attn_k.weight
Q8_0
Q8_0
[4096, 1024]
blk.4.attn_k_norm.weight
F32
F32
[128]
blk.4.attn_norm.weight
F32
F32
[4096]
blk.4.attn_output.weight
Q8_0
Q8_0
[4096, 4096]
blk.4.attn_q.weight
Q8_0
Q8_0
[4096, 4096]
blk.4.attn_q_norm.weight
F32
F32
[128]
blk.4.attn_v.weight
Q8_0
Q8_0
[4096, 1024]
blk.4.ffn_down.weight
Q8_0
Q8_0
[12288, 4096]
blk.4.ffn_gate.weight
Q8_0
Q8_0
[4096, 12288]
blk.4.ffn_norm.weight
F32
F32
[4096]
blk.4.ffn_up.weight
Q8_0
Q8_0
[4096, 12288]
blk.5
blk.5.attn_k.weight
Q8_0
Q8_0
[4096, 1024]
blk.5.attn_k_norm.weight
F32
F32
[128]
blk.5.attn_norm.weight
F32
F32
[4096]
blk.5.attn_output.weight
Q8_0
Q8_0
[4096, 4096]
blk.5.attn_q.weight
Q8_0
Q8_0
[4096, 4096]
blk.5.attn_q_norm.weight
F32
F32
[128]
blk.5.attn_v.weight
Q8_0
Q8_0
[4096, 1024]
blk.5.ffn_down.weight
Q8_0
Q8_0
[12288, 4096]
blk.5.ffn_gate.weight
Q8_0
Q8_0
[4096, 12288]
blk.5.ffn_norm.weight
F32
F32
[4096]
blk.5.ffn_up.weight
Q8_0
Q8_0
[4096, 12288]
enc.output_norm.weight
F32
F32
[4096]
fc.weight
Q8_0
Q8_0
[32768, 4096]
output_norm.weight
F32
F32
[4096]