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logicbeat
/
Qwen3.8-27B-pi-mtp
:latest
41
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Updated
1 week ago
Optimized Qwen3.8 for pi coding harness with mtp weights from https://huggingface.co/bytkim/Qwen3.8-27B-pi-GGUF
Optimized Qwen3.8 for pi coding harness with mtp weights from https://huggingface.co/bytkim/Qwen3.8-27B-pi-GGUF
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Qwen3.8-27B-pi-mtp:latest
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6ce594309116 · 2.0GB
Metadata
general.architecture
qwen35
qwen35
general.file_type
Q4_0
Q4_0
qwen35.attention.head_count
24
24
qwen35.attention.head_count_kv
4
4
qwen35.attention.key_length
256
256
qwen35.attention.layer_norm_rms_epsilon
1e-06
1e-06
qwen35.attention.recurrent_layers
[true, true, true, false, true, ...]
[true, true, true, false, true, ...]
qwen35.attention.value_length
256
256
qwen35.block_count
65
65
qwen35.context_length
262144
262144
qwen35.embedding_length
5120
5120
qwen35.feed_forward_length
17408
17408
qwen35.full_attention_interval
4
4
qwen35.nextn_predict_layers
1
1
qwen35.rope.dimension_count
64
64
qwen35.rope.dimension_sections
[11, 11, 10, 0]
[11, 11, 10, 0]
qwen35.rope.freq_base
1e+07
1e+07
qwen35.ssm.conv_kernel
4
4
qwen35.ssm.group_count
16
16
qwen35.ssm.inner_size
6144
6144
qwen35.ssm.state_size
128
128
qwen35.ssm.time_step_rank
48
48
tokenizer.ggml.bos_token_id
248044
248044
tokenizer.ggml.eos_token_id
248046
248046
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
token_embd.weight
Q4_0
Q4_0
[5120, 248320]
blk.64
blk.64.attn_k.weight
Q4_0
Q4_0
[5120, 1024]
blk.64.attn_k_norm.weight
F32
F32
[256]
blk.64.attn_norm.weight
F32
F32
[5120]
blk.64.attn_output.weight
Q4_0
Q4_0
[6144, 5120]
blk.64.attn_q.weight
Q4_0
Q4_0
[5120, 12288]
blk.64.attn_q_norm.weight
F32
F32
[256]
blk.64.attn_v.weight
Q4_0
Q4_0
[5120, 1024]
blk.64.ffn_down.weight
Q4_0
Q4_0
[17408, 5120]
blk.64.ffn_gate.weight
Q4_0
Q4_0
[5120, 17408]
blk.64.ffn_up.weight
Q4_0
Q4_0
[5120, 17408]
blk.64.nextn.eh_proj.weight
Q4_0
Q4_0
[10240, 5120]
blk.64.nextn.enorm.weight
F32
F32
[5120]
blk.64.nextn.hnorm.weight
F32
F32
[5120]
blk.64.nextn.shared_head_norm.weight
F32
F32
[5120]
blk.64.post_attention_norm.weight
F32
F32
[5120]
output.weight
Q6_K
Q6_K
[5120, 248320]
output_norm.weight
F32
F32
[5120]