codegemma

CodeGemma is a collection of powerful, lightweight models that can perform a variety of coding tasks like fill-in-the-middle code completion, code generation, natural language understanding, mathematical reasoning, and instruction following.

2b 7b

355.7K Pulls Updated 3 months ago

85 Tags

codegemma:7b-instruct-v1.1-q5_1 ... /

model

ade75c7f8b37 · 6.5GB

Metadata

gemma.attention.head_count

16
gemma.attention.head_count_kv

16
gemma.attention.key_length

256
gemma.attention.layer_norm_rms_epsilon

1e-06
gemma.attention.value_length

256
gemma.block_count

28
gemma.context_length

8192
gemma.embedding_length

3072
gemma.feed_forward_length

24576
general.architecture

gemma
general.file_type

9
general.name

codegemma-1.1-7b-it
general.quantization_version

2
tokenizer.ggml.add_bos_token

true
tokenizer.ggml.add_eos_token

false
tokenizer.ggml.bos_token_id

2
tokenizer.ggml.eos_token_id

1
tokenizer.ggml.eot_token_id

107
tokenizer.ggml.middle_token_id

68
tokenizer.ggml.model

llama
tokenizer.ggml.padding_token_id

0
tokenizer.ggml.pre

default
tokenizer.ggml.prefix_token_id

67
tokenizer.ggml.scores

[0, 0, 0, 0, 0, ...]
tokenizer.ggml.suffix_token_id

69
tokenizer.ggml.token_type

[3, 3, 3, 2, 1, ...]
tokenizer.ggml.tokens

[<pad>, <eos>, <bos>, <unk>, <mask>, ...]

Tensor

Name

Type

Shape
token_embd.weight

Q6_K

[3072, 256000]

blk.0

blk.0.attn_k.weight

Q5_1

[3072, 4096]
blk.0.attn_norm.weight

F32

[3072]
blk.0.attn_output.weight

Q5_1

[4096, 3072]
blk.0.attn_q.weight

Q5_1

[3072, 4096]
blk.0.attn_v.weight

Q5_1

[3072, 4096]
blk.0.ffn_down.weight

Q5_1

[24576, 3072]
blk.0.ffn_gate.weight

Q5_1

[3072, 24576]
blk.0.ffn_norm.weight

F32

[3072]
blk.0.ffn_up.weight

Q5_1

[3072, 24576]

blk.1

blk.1.attn_k.weight

Q5_1

[3072, 4096]
blk.1.attn_norm.weight

F32

[3072]
blk.1.attn_output.weight

Q5_1

[4096, 3072]
blk.1.attn_q.weight

Q5_1

[3072, 4096]
blk.1.attn_v.weight

Q5_1

[3072, 4096]
blk.1.ffn_down.weight

Q5_1

[24576, 3072]
blk.1.ffn_gate.weight

Q5_1

[3072, 24576]
blk.1.ffn_norm.weight

F32

[3072]
blk.1.ffn_up.weight

Q5_1

[3072, 24576]

blk.2

blk.2.attn_k.weight

Q5_1

[3072, 4096]
blk.2.attn_norm.weight

F32

[3072]
blk.2.attn_output.weight

Q5_1

[4096, 3072]
blk.2.attn_q.weight

Q5_1

[3072, 4096]
blk.2.attn_v.weight

Q5_1

[3072, 4096]
blk.2.ffn_down.weight

Q5_1

[24576, 3072]
blk.2.ffn_gate.weight

Q5_1

[3072, 24576]
blk.2.ffn_norm.weight

F32

[3072]
blk.2.ffn_up.weight

Q5_1

[3072, 24576]

blk.3

blk.3.attn_k.weight

Q5_1

[3072, 4096]
blk.3.attn_norm.weight

F32

[3072]
blk.3.attn_output.weight

Q5_1

[4096, 3072]
blk.3.attn_q.weight

Q5_1

[3072, 4096]
blk.3.attn_v.weight

Q5_1

[3072, 4096]
blk.3.ffn_down.weight

Q5_1

[24576, 3072]
blk.3.ffn_gate.weight

Q5_1

[3072, 24576]
blk.3.ffn_norm.weight

F32

[3072]
blk.3.ffn_up.weight

Q5_1

[3072, 24576]

blk.4

blk.4.attn_k.weight

Q5_1

[3072, 4096]
blk.4.attn_norm.weight

F32

[3072]
blk.4.attn_output.weight

Q5_1

[4096, 3072]
blk.4.attn_q.weight

Q5_1

[3072, 4096]
blk.4.attn_v.weight

Q5_1

[3072, 4096]
blk.4.ffn_down.weight

Q5_1

[24576, 3072]
blk.4.ffn_gate.weight

Q5_1

[3072, 24576]
blk.4.ffn_norm.weight

F32

[3072]
blk.4.ffn_up.weight

Q5_1

[3072, 24576]

blk.5

blk.5.attn_k.weight

Q5_1

[3072, 4096]
blk.5.attn_norm.weight

F32

[3072]
blk.5.attn_output.weight

Q5_1

[4096, 3072]
blk.5.attn_q.weight

Q5_1

[3072, 4096]
blk.5.attn_v.weight

Q5_1

[3072, 4096]
blk.5.ffn_down.weight

Q5_1

[24576, 3072]
blk.5.ffn_gate.weight

Q5_1

[3072, 24576]
blk.5.ffn_norm.weight

F32

[3072]
blk.5.ffn_up.weight

Q5_1

[3072, 24576]

blk.6

blk.6.attn_k.weight

Q5_1

[3072, 4096]
blk.6.attn_norm.weight

F32

[3072]
blk.6.attn_output.weight

Q5_1

[4096, 3072]
blk.6.attn_q.weight

Q5_1

[3072, 4096]
blk.6.attn_v.weight

Q5_1

[3072, 4096]
blk.6.ffn_down.weight

Q5_1

[24576, 3072]
blk.6.ffn_gate.weight

Q5_1

[3072, 24576]
blk.6.ffn_norm.weight

F32

[3072]
blk.6.ffn_up.weight

Q5_1

[3072, 24576]

blk.7

blk.7.attn_k.weight

Q5_1

[3072, 4096]
blk.7.attn_norm.weight

F32

[3072]
blk.7.attn_output.weight

Q5_1

[4096, 3072]
blk.7.attn_q.weight

Q5_1

[3072, 4096]
blk.7.attn_v.weight

Q5_1

[3072, 4096]
blk.7.ffn_down.weight

Q5_1

[24576, 3072]
blk.7.ffn_gate.weight

Q5_1

[3072, 24576]
blk.7.ffn_norm.weight

F32

[3072]
blk.7.ffn_up.weight

Q5_1

[3072, 24576]

blk.8

blk.8.attn_k.weight

Q5_1

[3072, 4096]
blk.8.attn_norm.weight

F32

[3072]
blk.8.attn_output.weight

Q5_1

[4096, 3072]
blk.8.attn_q.weight

Q5_1

[3072, 4096]
blk.8.attn_v.weight

Q5_1

[3072, 4096]
blk.8.ffn_down.weight

Q5_1

[24576, 3072]
blk.8.ffn_gate.weight

Q5_1

[3072, 24576]
blk.8.ffn_norm.weight

F32

[3072]
blk.8.ffn_up.weight

Q5_1

[3072, 24576]

blk.9

blk.9.attn_k.weight

Q5_1

[3072, 4096]
blk.9.attn_norm.weight

F32

[3072]
blk.9.attn_output.weight

Q5_1

[4096, 3072]
blk.9.attn_q.weight

Q5_1

[3072, 4096]
blk.9.attn_v.weight

Q5_1

[3072, 4096]
blk.9.ffn_down.weight

Q5_1

[24576, 3072]
blk.9.ffn_gate.weight

Q5_1

[3072, 24576]
blk.9.ffn_norm.weight

F32

[3072]
blk.9.ffn_up.weight

Q5_1

[3072, 24576]

blk.10

blk.10.attn_k.weight

Q5_1

[3072, 4096]
blk.10.attn_norm.weight

F32

[3072]
blk.10.attn_output.weight

Q5_1

[4096, 3072]
blk.10.attn_q.weight

Q5_1

[3072, 4096]
blk.10.attn_v.weight

Q5_1

[3072, 4096]
blk.10.ffn_down.weight

Q5_1

[24576, 3072]
blk.10.ffn_gate.weight

Q5_1

[3072, 24576]
blk.10.ffn_norm.weight

F32

[3072]
blk.10.ffn_up.weight

Q5_1

[3072, 24576]

blk.11

blk.11.attn_k.weight

Q5_1

[3072, 4096]
blk.11.attn_norm.weight

F32

[3072]
blk.11.attn_output.weight

Q5_1

[4096, 3072]
blk.11.attn_q.weight

Q5_1

[3072, 4096]
blk.11.attn_v.weight

Q5_1

[3072, 4096]
blk.11.ffn_down.weight

Q5_1

[24576, 3072]
blk.11.ffn_gate.weight

Q5_1

[3072, 24576]
blk.11.ffn_norm.weight

F32

[3072]
blk.11.ffn_up.weight

Q5_1

[3072, 24576]

blk.12

blk.12.attn_k.weight

Q5_1

[3072, 4096]
blk.12.attn_norm.weight

F32

[3072]
blk.12.attn_output.weight

Q5_1

[4096, 3072]
blk.12.attn_q.weight

Q5_1

[3072, 4096]
blk.12.attn_v.weight

Q5_1

[3072, 4096]
blk.12.ffn_down.weight

Q5_1

[24576, 3072]
blk.12.ffn_gate.weight

Q5_1

[3072, 24576]
blk.12.ffn_norm.weight

F32

[3072]
blk.12.ffn_up.weight

Q5_1

[3072, 24576]

blk.13

blk.13.attn_k.weight

Q5_1

[3072, 4096]
blk.13.attn_norm.weight

F32

[3072]
blk.13.attn_output.weight

Q5_1

[4096, 3072]
blk.13.attn_q.weight

Q5_1

[3072, 4096]
blk.13.attn_v.weight

Q5_1

[3072, 4096]
blk.13.ffn_down.weight

Q5_1

[24576, 3072]
blk.13.ffn_gate.weight

Q5_1

[3072, 24576]
blk.13.ffn_norm.weight

F32

[3072]
blk.13.ffn_up.weight

Q5_1

[3072, 24576]

blk.14

blk.14.attn_k.weight

Q5_1

[3072, 4096]
blk.14.attn_norm.weight

F32

[3072]
blk.14.attn_output.weight

Q5_1

[4096, 3072]
blk.14.attn_q.weight

Q5_1

[3072, 4096]
blk.14.attn_v.weight

Q5_1

[3072, 4096]
blk.14.ffn_down.weight

Q5_1

[24576, 3072]
blk.14.ffn_gate.weight

Q5_1

[3072, 24576]
blk.14.ffn_norm.weight

F32

[3072]
blk.14.ffn_up.weight

Q5_1

[3072, 24576]

blk.15

blk.15.attn_k.weight

Q5_1

[3072, 4096]
blk.15.attn_norm.weight

F32

[3072]
blk.15.attn_output.weight

Q5_1

[4096, 3072]
blk.15.attn_q.weight

Q5_1

[3072, 4096]
blk.15.attn_v.weight

Q5_1

[3072, 4096]
blk.15.ffn_down.weight

Q5_1

[24576, 3072]
blk.15.ffn_gate.weight

Q5_1

[3072, 24576]
blk.15.ffn_norm.weight

F32

[3072]
blk.15.ffn_up.weight

Q5_1

[3072, 24576]

blk.16

blk.16.attn_k.weight

Q5_1

[3072, 4096]
blk.16.attn_norm.weight

F32

[3072]
blk.16.attn_output.weight

Q5_1

[4096, 3072]
blk.16.attn_q.weight

Q5_1

[3072, 4096]
blk.16.attn_v.weight

Q5_1

[3072, 4096]
blk.16.ffn_down.weight

Q5_1

[24576, 3072]
blk.16.ffn_gate.weight

Q5_1

[3072, 24576]
blk.16.ffn_norm.weight

F32

[3072]
blk.16.ffn_up.weight

Q5_1

[3072, 24576]

blk.17

blk.17.attn_k.weight

Q5_1

[3072, 4096]
blk.17.attn_norm.weight

F32

[3072]
blk.17.attn_output.weight

Q5_1

[4096, 3072]
blk.17.attn_q.weight

Q5_1

[3072, 4096]
blk.17.attn_v.weight

Q5_1

[3072, 4096]
blk.17.ffn_down.weight

Q5_1

[24576, 3072]
blk.17.ffn_gate.weight

Q5_1

[3072, 24576]
blk.17.ffn_norm.weight

F32

[3072]
blk.17.ffn_up.weight

Q5_1

[3072, 24576]

blk.18

blk.18.attn_k.weight

Q5_1

[3072, 4096]
blk.18.attn_norm.weight

F32

[3072]
blk.18.attn_output.weight

Q5_1

[4096, 3072]
blk.18.attn_q.weight

Q5_1

[3072, 4096]
blk.18.attn_v.weight

Q5_1

[3072, 4096]
blk.18.ffn_down.weight

Q5_1

[24576, 3072]
blk.18.ffn_gate.weight

Q5_1

[3072, 24576]
blk.18.ffn_norm.weight

F32

[3072]
blk.18.ffn_up.weight

Q5_1

[3072, 24576]

blk.19

blk.19.attn_k.weight

Q5_1

[3072, 4096]
blk.19.attn_norm.weight

F32

[3072]
blk.19.attn_output.weight

Q5_1

[4096, 3072]
blk.19.attn_q.weight

Q5_1

[3072, 4096]
blk.19.attn_v.weight

Q5_1

[3072, 4096]
blk.19.ffn_down.weight

Q5_1

[24576, 3072]
blk.19.ffn_gate.weight

Q5_1

[3072, 24576]
blk.19.ffn_norm.weight

F32

[3072]
blk.19.ffn_up.weight

Q5_1

[3072, 24576]

blk.20

blk.20.attn_k.weight

Q5_1

[3072, 4096]
blk.20.attn_norm.weight

F32

[3072]
blk.20.attn_output.weight

Q5_1

[4096, 3072]
blk.20.attn_q.weight

Q5_1

[3072, 4096]
blk.20.attn_v.weight

Q5_1

[3072, 4096]
blk.20.ffn_down.weight

Q5_1

[24576, 3072]
blk.20.ffn_gate.weight

Q5_1

[3072, 24576]
blk.20.ffn_norm.weight

F32

[3072]
blk.20.ffn_up.weight

Q5_1

[3072, 24576]

blk.21

blk.21.attn_k.weight

Q5_1

[3072, 4096]
blk.21.attn_norm.weight

F32

[3072]
blk.21.attn_output.weight

Q5_1

[4096, 3072]
blk.21.attn_q.weight

Q5_1

[3072, 4096]
blk.21.attn_v.weight

Q5_1

[3072, 4096]
blk.21.ffn_down.weight

Q5_1

[24576, 3072]
blk.21.ffn_gate.weight

Q5_1

[3072, 24576]
blk.21.ffn_norm.weight

F32

[3072]
blk.21.ffn_up.weight

Q5_1

[3072, 24576]

blk.22

blk.22.attn_k.weight

Q5_1

[3072, 4096]
blk.22.attn_norm.weight

F32

[3072]
blk.22.attn_output.weight

Q5_1

[4096, 3072]
blk.22.attn_q.weight

Q5_1

[3072, 4096]
blk.22.attn_v.weight

Q5_1

[3072, 4096]
blk.22.ffn_down.weight

Q5_1

[24576, 3072]
blk.22.ffn_gate.weight

Q5_1

[3072, 24576]
blk.22.ffn_norm.weight

F32

[3072]
blk.22.ffn_up.weight

Q5_1

[3072, 24576]

blk.23

blk.23.attn_k.weight

Q5_1

[3072, 4096]
blk.23.attn_norm.weight

F32

[3072]
blk.23.attn_output.weight

Q5_1

[4096, 3072]
blk.23.attn_q.weight

Q5_1

[3072, 4096]
blk.23.attn_v.weight

Q5_1

[3072, 4096]
blk.23.ffn_down.weight

Q5_1

[24576, 3072]
blk.23.ffn_gate.weight

Q5_1

[3072, 24576]
blk.23.ffn_norm.weight

F32

[3072]
blk.23.ffn_up.weight

Q5_1

[3072, 24576]

blk.24

blk.24.attn_k.weight

Q5_1

[3072, 4096]
blk.24.attn_norm.weight

F32

[3072]
blk.24.attn_output.weight

Q5_1

[4096, 3072]
blk.24.attn_q.weight

Q5_1

[3072, 4096]
blk.24.attn_v.weight

Q5_1

[3072, 4096]
blk.24.ffn_down.weight

Q5_1

[24576, 3072]
blk.24.ffn_gate.weight

Q5_1

[3072, 24576]
blk.24.ffn_norm.weight

F32

[3072]
blk.24.ffn_up.weight

Q5_1

[3072, 24576]

blk.25

blk.25.attn_k.weight

Q5_1

[3072, 4096]
blk.25.attn_norm.weight

F32

[3072]
blk.25.attn_output.weight

Q5_1

[4096, 3072]
blk.25.attn_q.weight

Q5_1

[3072, 4096]
blk.25.attn_v.weight

Q5_1

[3072, 4096]
blk.25.ffn_down.weight

Q5_1

[24576, 3072]
blk.25.ffn_gate.weight

Q5_1

[3072, 24576]
blk.25.ffn_norm.weight

F32

[3072]
blk.25.ffn_up.weight

Q5_1

[3072, 24576]

blk.26

blk.26.attn_k.weight

Q5_1

[3072, 4096]
blk.26.attn_norm.weight

F32

[3072]
blk.26.attn_output.weight

Q5_1

[4096, 3072]
blk.26.attn_q.weight

Q5_1

[3072, 4096]
blk.26.attn_v.weight

Q5_1

[3072, 4096]
blk.26.ffn_down.weight

Q5_1

[24576, 3072]
blk.26.ffn_gate.weight

Q5_1

[3072, 24576]
blk.26.ffn_norm.weight

F32

[3072]
blk.26.ffn_up.weight

Q5_1

[3072, 24576]

blk.27

blk.27.attn_k.weight

Q5_1

[3072, 4096]
blk.27.attn_norm.weight

F32

[3072]
blk.27.attn_output.weight

Q5_1

[4096, 3072]
blk.27.attn_q.weight

Q5_1

[3072, 4096]
blk.27.attn_v.weight

Q5_1

[3072, 4096]
blk.27.ffn_down.weight

Q5_1

[24576, 3072]
blk.27.ffn_gate.weight

Q5_1

[3072, 24576]
blk.27.ffn_norm.weight

F32

[3072]
blk.27.ffn_up.weight

Q5_1

[3072, 24576]

output_norm.weight

F32

[3072]