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yi-coder
:1.5b-base-q3_K_S
115.7K
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Updated
11 months ago
Yi-Coder is a series of open-source code language models that delivers state-of-the-art coding performance with fewer than 10 billion parameters.
Yi-Coder is a series of open-source code language models that delivers state-of-the-art coding performance with fewer than 10 billion parameters.
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1.5b
9b
yi-coder:1.5b-base-q3_K_S
...
/
model
b94beac3851b · 723MB
Metadata
general.architecture
llama
llama
general.file_type
Q3_K_S
Q3_K_S
llama.attention.head_count
16
16
llama.attention.head_count_kv
16
16
llama.attention.layer_norm_rms_epsilon
1e-05
1e-05
llama.block_count
24
24
llama.context_length
131072
131072
llama.embedding_length
2048
2048
llama.feed_forward_length
5504
5504
llama.rope.dimension_count
128
128
llama.rope.freq_base
1e+07
1e+07
llama.vocab_size
64000
64000
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
2
2
tokenizer.ggml.model
llama
llama
tokenizer.ggml.padding_token_id
0
0
tokenizer.ggml.pre
default
default
tokenizer.ggml.scores
[-1000, -1000, -1000, 0, 0, ...]
[-1000, -1000, -1000, 0, 0, ...]
tokenizer.ggml.token_type
[3, 3, 3, 3, 3, ...]
[3, 3, 3, 3, 3, ...]
tokenizer.ggml.tokens
[<unk>, <|startoftext|>, <|endoftext|>, <|Human|>, <|Assistant|>, ...]
[<unk>, <|startoftext|>, <|endoftext|>, <|Human|>, <|Assistant|>, ...]
tokenizer.ggml.unknown_token_id
0
0
Tensor
Name
Type
Shape
token_embd.weight
Q3_K
Q3_K
[2048, 64000]
blk.0
blk.0.attn_k.weight
Q3_K
Q3_K
[2048, 2048]
blk.0.attn_norm.weight
F32
F32
[2048]
blk.0.attn_output.weight
Q3_K
Q3_K
[2048, 2048]
blk.0.attn_q.weight
Q3_K
Q3_K
[2048, 2048]
blk.0.attn_v.weight
Q3_K
Q3_K
[2048, 2048]
blk.0.ffn_down.weight
IQ4_NL
IQ4_NL
[5504, 2048]
blk.0.ffn_gate.weight
Q3_K
Q3_K
[2048, 5504]
blk.0.ffn_norm.weight
F32
F32
[2048]
blk.0.ffn_up.weight
Q3_K
Q3_K
[2048, 5504]
blk.1
blk.1.attn_k.weight
Q3_K
Q3_K
[2048, 2048]
blk.1.attn_norm.weight
F32
F32
[2048]
blk.1.attn_output.weight
Q3_K
Q3_K
[2048, 2048]
blk.1.attn_q.weight
Q3_K
Q3_K
[2048, 2048]
blk.1.attn_v.weight
Q3_K
Q3_K
[2048, 2048]
blk.1.ffn_down.weight
IQ4_NL
IQ4_NL
[5504, 2048]
blk.1.ffn_gate.weight
Q3_K
Q3_K
[2048, 5504]
blk.1.ffn_norm.weight
F32
F32
[2048]
blk.1.ffn_up.weight
Q3_K
Q3_K
[2048, 5504]
blk.2
blk.2.attn_k.weight
Q3_K
Q3_K
[2048, 2048]
blk.2.attn_norm.weight
F32
F32
[2048]
blk.2.attn_output.weight
Q3_K
Q3_K
[2048, 2048]
blk.2.attn_q.weight
Q3_K
Q3_K
[2048, 2048]
blk.2.attn_v.weight
Q3_K
Q3_K
[2048, 2048]
blk.2.ffn_down.weight
IQ4_NL
IQ4_NL
[5504, 2048]
blk.2.ffn_gate.weight
Q3_K
Q3_K
[2048, 5504]
blk.2.ffn_norm.weight
F32
F32
[2048]
blk.2.ffn_up.weight
Q3_K
Q3_K
[2048, 5504]
blk.3
blk.3.attn_k.weight
Q3_K
Q3_K
[2048, 2048]
blk.3.attn_norm.weight
F32
F32
[2048]
blk.3.attn_output.weight
Q3_K
Q3_K
[2048, 2048]
blk.3.attn_q.weight
Q3_K
Q3_K
[2048, 2048]
blk.3.attn_v.weight
Q3_K
Q3_K
[2048, 2048]
blk.3.ffn_down.weight
IQ4_NL
IQ4_NL
[5504, 2048]
blk.3.ffn_gate.weight
Q3_K
Q3_K
[2048, 5504]
blk.3.ffn_norm.weight
F32
F32
[2048]
blk.3.ffn_up.weight
Q3_K
Q3_K
[2048, 5504]
blk.4
blk.4.attn_k.weight
Q3_K
Q3_K
[2048, 2048]
blk.4.attn_norm.weight
F32
F32
[2048]
blk.4.attn_output.weight
Q3_K
Q3_K
[2048, 2048]
blk.4.attn_q.weight
Q3_K
Q3_K
[2048, 2048]
blk.4.attn_v.weight
Q3_K
Q3_K
[2048, 2048]
blk.4.ffn_down.weight
IQ4_NL
IQ4_NL
[5504, 2048]
blk.4.ffn_gate.weight
Q3_K
Q3_K
[2048, 5504]
blk.4.ffn_norm.weight
F32
F32
[2048]
blk.4.ffn_up.weight
Q3_K
Q3_K
[2048, 5504]
blk.5
blk.5.attn_k.weight
Q3_K
Q3_K
[2048, 2048]
blk.5.attn_norm.weight
F32
F32
[2048]
blk.5.attn_output.weight
Q3_K
Q3_K
[2048, 2048]
blk.5.attn_q.weight
Q3_K
Q3_K
[2048, 2048]
blk.5.attn_v.weight
Q3_K
Q3_K
[2048, 2048]
blk.5.ffn_down.weight
IQ4_NL
IQ4_NL
[5504, 2048]
blk.5.ffn_gate.weight
Q3_K
Q3_K
[2048, 5504]
blk.5.ffn_norm.weight
F32
F32
[2048]
blk.5.ffn_up.weight
Q3_K
Q3_K
[2048, 5504]
blk.6
blk.6.attn_k.weight
Q3_K
Q3_K
[2048, 2048]
blk.6.attn_norm.weight
F32
F32
[2048]
blk.6.attn_output.weight
Q3_K
Q3_K
[2048, 2048]
blk.6.attn_q.weight
Q3_K
Q3_K
[2048, 2048]
blk.6.attn_v.weight
Q3_K
Q3_K
[2048, 2048]
blk.6.ffn_down.weight
IQ4_NL
IQ4_NL
[5504, 2048]
blk.6.ffn_gate.weight
Q3_K
Q3_K
[2048, 5504]
blk.6.ffn_norm.weight
F32
F32
[2048]
blk.6.ffn_up.weight
Q3_K
Q3_K
[2048, 5504]
blk.7
blk.7.attn_k.weight
Q3_K
Q3_K
[2048, 2048]
blk.7.attn_norm.weight
F32
F32
[2048]
blk.7.attn_output.weight
Q3_K
Q3_K
[2048, 2048]
blk.7.attn_q.weight
Q3_K
Q3_K
[2048, 2048]
blk.7.attn_v.weight
Q3_K
Q3_K
[2048, 2048]
blk.7.ffn_down.weight
IQ4_NL
IQ4_NL
[5504, 2048]
blk.7.ffn_gate.weight
Q3_K
Q3_K
[2048, 5504]
blk.7.ffn_norm.weight
F32
F32
[2048]
blk.7.ffn_up.weight
Q3_K
Q3_K
[2048, 5504]
blk.8
blk.8.attn_k.weight
Q3_K
Q3_K
[2048, 2048]
blk.8.attn_norm.weight
F32
F32
[2048]
blk.8.attn_output.weight
Q3_K
Q3_K
[2048, 2048]
blk.8.attn_q.weight
Q3_K
Q3_K
[2048, 2048]
blk.8.attn_v.weight
Q3_K
Q3_K
[2048, 2048]
blk.8.ffn_down.weight
IQ4_NL
IQ4_NL
[5504, 2048]
blk.8.ffn_gate.weight
Q3_K
Q3_K
[2048, 5504]
blk.8.ffn_norm.weight
F32
F32
[2048]
blk.8.ffn_up.weight
Q3_K
Q3_K
[2048, 5504]
blk.9
blk.9.attn_k.weight
Q3_K
Q3_K
[2048, 2048]
blk.9.attn_norm.weight
F32
F32
[2048]
blk.9.attn_output.weight
Q3_K
Q3_K
[2048, 2048]
blk.9.attn_q.weight
Q3_K
Q3_K
[2048, 2048]
blk.9.attn_v.weight
Q3_K
Q3_K
[2048, 2048]
blk.9.ffn_down.weight
IQ4_NL
IQ4_NL
[5504, 2048]
blk.9.ffn_gate.weight
Q3_K
Q3_K
[2048, 5504]
blk.9.ffn_norm.weight
F32
F32
[2048]
blk.9.ffn_up.weight
Q3_K
Q3_K
[2048, 5504]
blk.10
blk.10.attn_k.weight
Q3_K
Q3_K
[2048, 2048]
blk.10.attn_norm.weight
F32
F32
[2048]
blk.10.attn_output.weight
Q3_K
Q3_K
[2048, 2048]
blk.10.attn_q.weight
Q3_K
Q3_K
[2048, 2048]
blk.10.attn_v.weight
Q3_K
Q3_K
[2048, 2048]
blk.10.ffn_down.weight
IQ4_NL
IQ4_NL
[5504, 2048]
blk.10.ffn_gate.weight
Q3_K
Q3_K
[2048, 5504]
blk.10.ffn_norm.weight
F32
F32
[2048]
blk.10.ffn_up.weight
Q3_K
Q3_K
[2048, 5504]
blk.11
blk.11.attn_k.weight
Q3_K
Q3_K
[2048, 2048]
blk.11.attn_norm.weight
F32
F32
[2048]
blk.11.attn_output.weight
Q3_K
Q3_K
[2048, 2048]
blk.11.attn_q.weight
Q3_K
Q3_K
[2048, 2048]
blk.11.attn_v.weight
Q3_K
Q3_K
[2048, 2048]
blk.11.ffn_down.weight
IQ4_NL
IQ4_NL
[5504, 2048]
blk.11.ffn_gate.weight
Q3_K
Q3_K
[2048, 5504]
blk.11.ffn_norm.weight
F32
F32
[2048]
blk.11.ffn_up.weight
Q3_K
Q3_K
[2048, 5504]
blk.12
blk.12.attn_k.weight
Q3_K
Q3_K
[2048, 2048]
blk.12.attn_norm.weight
F32
F32
[2048]
blk.12.attn_output.weight
Q3_K
Q3_K
[2048, 2048]
blk.12.attn_q.weight
Q3_K
Q3_K
[2048, 2048]
blk.12.attn_v.weight
Q3_K
Q3_K
[2048, 2048]
blk.12.ffn_down.weight
IQ4_NL
IQ4_NL
[5504, 2048]
blk.12.ffn_gate.weight
Q3_K
Q3_K
[2048, 5504]
blk.12.ffn_norm.weight
F32
F32
[2048]
blk.12.ffn_up.weight
Q3_K
Q3_K
[2048, 5504]
blk.13
blk.13.attn_k.weight
Q3_K
Q3_K
[2048, 2048]
blk.13.attn_norm.weight
F32
F32
[2048]
blk.13.attn_output.weight
Q3_K
Q3_K
[2048, 2048]
blk.13.attn_q.weight
Q3_K
Q3_K
[2048, 2048]
blk.13.attn_v.weight
Q3_K
Q3_K
[2048, 2048]
blk.13.ffn_down.weight
IQ4_NL
IQ4_NL
[5504, 2048]
blk.13.ffn_gate.weight
Q3_K
Q3_K
[2048, 5504]
blk.13.ffn_norm.weight
F32
F32
[2048]
blk.13.ffn_up.weight
Q3_K
Q3_K
[2048, 5504]
blk.14
blk.14.attn_k.weight
Q3_K
Q3_K
[2048, 2048]
blk.14.attn_norm.weight
F32
F32
[2048]
blk.14.attn_output.weight
Q3_K
Q3_K
[2048, 2048]
blk.14.attn_q.weight
Q3_K
Q3_K
[2048, 2048]
blk.14.attn_v.weight
Q3_K
Q3_K
[2048, 2048]
blk.14.ffn_down.weight
IQ4_NL
IQ4_NL
[5504, 2048]
blk.14.ffn_gate.weight
Q3_K
Q3_K
[2048, 5504]
blk.14.ffn_norm.weight
F32
F32
[2048]
blk.14.ffn_up.weight
Q3_K
Q3_K
[2048, 5504]
blk.15
blk.15.attn_k.weight
Q3_K
Q3_K
[2048, 2048]
blk.15.attn_norm.weight
F32
F32
[2048]
blk.15.attn_output.weight
Q3_K
Q3_K
[2048, 2048]
blk.15.attn_q.weight
Q3_K
Q3_K
[2048, 2048]
blk.15.attn_v.weight
Q3_K
Q3_K
[2048, 2048]
blk.15.ffn_down.weight
IQ4_NL
IQ4_NL
[5504, 2048]
blk.15.ffn_gate.weight
Q3_K
Q3_K
[2048, 5504]
blk.15.ffn_norm.weight
F32
F32
[2048]
blk.15.ffn_up.weight
Q3_K
Q3_K
[2048, 5504]
blk.16
blk.16.attn_k.weight
Q3_K
Q3_K
[2048, 2048]
blk.16.attn_norm.weight
F32
F32
[2048]
blk.16.attn_output.weight
Q3_K
Q3_K
[2048, 2048]
blk.16.attn_q.weight
Q3_K
Q3_K
[2048, 2048]
blk.16.attn_v.weight
Q3_K
Q3_K
[2048, 2048]
blk.16.ffn_down.weight
IQ4_NL
IQ4_NL
[5504, 2048]
blk.16.ffn_gate.weight
Q3_K
Q3_K
[2048, 5504]
blk.16.ffn_norm.weight
F32
F32
[2048]
blk.16.ffn_up.weight
Q3_K
Q3_K
[2048, 5504]
blk.17
blk.17.attn_k.weight
Q3_K
Q3_K
[2048, 2048]
blk.17.attn_norm.weight
F32
F32
[2048]
blk.17.attn_output.weight
Q3_K
Q3_K
[2048, 2048]
blk.17.attn_q.weight
Q3_K
Q3_K
[2048, 2048]
blk.17.attn_v.weight
Q3_K
Q3_K
[2048, 2048]
blk.17.ffn_down.weight
IQ4_NL
IQ4_NL
[5504, 2048]
blk.17.ffn_gate.weight
Q3_K
Q3_K
[2048, 5504]
blk.17.ffn_norm.weight
F32
F32
[2048]
blk.17.ffn_up.weight
Q3_K
Q3_K
[2048, 5504]
blk.18
blk.18.attn_k.weight
Q3_K
Q3_K
[2048, 2048]
blk.18.attn_norm.weight
F32
F32
[2048]
blk.18.attn_output.weight
Q3_K
Q3_K
[2048, 2048]
blk.18.attn_q.weight
Q3_K
Q3_K
[2048, 2048]
blk.18.attn_v.weight
Q3_K
Q3_K
[2048, 2048]
blk.18.ffn_down.weight
IQ4_NL
IQ4_NL
[5504, 2048]
blk.18.ffn_gate.weight
Q3_K
Q3_K
[2048, 5504]
blk.18.ffn_norm.weight
F32
F32
[2048]
blk.18.ffn_up.weight
Q3_K
Q3_K
[2048, 5504]
blk.19
blk.19.attn_k.weight
Q3_K
Q3_K
[2048, 2048]
blk.19.attn_norm.weight
F32
F32
[2048]
blk.19.attn_output.weight
Q3_K
Q3_K
[2048, 2048]
blk.19.attn_q.weight
Q3_K
Q3_K
[2048, 2048]
blk.19.attn_v.weight
Q3_K
Q3_K
[2048, 2048]
blk.19.ffn_down.weight
IQ4_NL
IQ4_NL
[5504, 2048]
blk.19.ffn_gate.weight
Q3_K
Q3_K
[2048, 5504]
blk.19.ffn_norm.weight
F32
F32
[2048]
blk.19.ffn_up.weight
Q3_K
Q3_K
[2048, 5504]
blk.20
blk.20.attn_k.weight
Q3_K
Q3_K
[2048, 2048]
blk.20.attn_norm.weight
F32
F32
[2048]
blk.20.attn_output.weight
Q3_K
Q3_K
[2048, 2048]
blk.20.attn_q.weight
Q3_K
Q3_K
[2048, 2048]
blk.20.attn_v.weight
Q3_K
Q3_K
[2048, 2048]
blk.20.ffn_down.weight
IQ4_NL
IQ4_NL
[5504, 2048]
blk.20.ffn_gate.weight
Q3_K
Q3_K
[2048, 5504]
blk.20.ffn_norm.weight
F32
F32
[2048]
blk.20.ffn_up.weight
Q3_K
Q3_K
[2048, 5504]
blk.21
blk.21.attn_k.weight
Q3_K
Q3_K
[2048, 2048]
blk.21.attn_norm.weight
F32
F32
[2048]
blk.21.attn_output.weight
Q3_K
Q3_K
[2048, 2048]
blk.21.attn_q.weight
Q3_K
Q3_K
[2048, 2048]
blk.21.attn_v.weight
Q3_K
Q3_K
[2048, 2048]
blk.21.ffn_down.weight
IQ4_NL
IQ4_NL
[5504, 2048]
blk.21.ffn_gate.weight
Q3_K
Q3_K
[2048, 5504]
blk.21.ffn_norm.weight
F32
F32
[2048]
blk.21.ffn_up.weight
Q3_K
Q3_K
[2048, 5504]
blk.22
blk.22.attn_k.weight
Q3_K
Q3_K
[2048, 2048]
blk.22.attn_norm.weight
F32
F32
[2048]
blk.22.attn_output.weight
Q3_K
Q3_K
[2048, 2048]
blk.22.attn_q.weight
Q3_K
Q3_K
[2048, 2048]
blk.22.attn_v.weight
Q3_K
Q3_K
[2048, 2048]
blk.22.ffn_down.weight
IQ4_NL
IQ4_NL
[5504, 2048]
blk.22.ffn_gate.weight
Q3_K
Q3_K
[2048, 5504]
blk.22.ffn_norm.weight
F32
F32
[2048]
blk.22.ffn_up.weight
Q3_K
Q3_K
[2048, 5504]
blk.23
blk.23.attn_k.weight
Q3_K
Q3_K
[2048, 2048]
blk.23.attn_norm.weight
F32
F32
[2048]
blk.23.attn_output.weight
Q3_K
Q3_K
[2048, 2048]
blk.23.attn_q.weight
Q3_K
Q3_K
[2048, 2048]
blk.23.attn_v.weight
Q3_K
Q3_K
[2048, 2048]
blk.23.ffn_down.weight
IQ4_NL
IQ4_NL
[5504, 2048]
blk.23.ffn_gate.weight
Q3_K
Q3_K
[2048, 5504]
blk.23.ffn_norm.weight
F32
F32
[2048]
blk.23.ffn_up.weight
Q3_K
Q3_K
[2048, 5504]
output.weight
Q6_K
Q6_K
[2048, 64000]
output_norm.weight
F32
F32
[2048]