mervinpraison / tamilan-2

Gemma 2 instruction fine tuned on Tamil Alpaca Dataset

2b 9b 27b

25 Pulls Updated 3 months ago

10 Tags

tamilan-2:27b-instruct-q8_0 ... /

model

ed32abba638f · 29GB

Metadata

gemma2.attention.head_count

32
gemma2.attention.head_count_kv

16
gemma2.attention.key_length

128
gemma2.attention.layer_norm_rms_epsilon

1e-06
gemma2.attention.sliding_window

4096
gemma2.attention.value_length

128
gemma2.attn_logit_softcapping

50
gemma2.block_count

46
gemma2.context_length

8192
gemma2.embedding_length

4608
gemma2.feed_forward_length

36864
gemma2.final_logit_softcapping

30
general.architecture

gemma2
general.basename

gemma-2
general.file_type

7
general.finetune

it-bnb-4bit
general.name

Gemma 2 27b It Bnb 4bit
general.organization

Unsloth
general.quantization_version

2
general.size_label

27B
general.type

model
tokenizer.ggml.add_bos_token

true
tokenizer.ggml.add_eos_token

false
tokenizer.ggml.add_space_prefix

false
tokenizer.ggml.bos_token_id

2
tokenizer.ggml.eos_token_id

1
tokenizer.ggml.model

llama
tokenizer.ggml.padding_token_id

0
tokenizer.ggml.pre

default
tokenizer.ggml.scores

[-1000, -1000, -1000, -1000, -1000, ...]
tokenizer.ggml.token_type

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

[<pad>, <eos>, <bos>, <unk>, <mask>, ...]
tokenizer.ggml.unknown_token_id

3

Tensor

Name

Type

Shape
token_embd.weight

Q8_0

[4608, 256000]

blk.0

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Q8_0

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F32

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Q8_0

[4096, 4608]
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Q8_0

[4608, 4096]
blk.0.attn_v.weight

Q8_0

[4608, 2048]
blk.0.ffn_down.weight

Q8_0

[36864, 4608]
blk.0.ffn_gate.weight

Q8_0

[4608, 36864]
blk.0.ffn_norm.weight

F32

[4608]
blk.0.ffn_up.weight

Q8_0

[4608, 36864]
blk.0.post_attention_norm.weight

F32

[4608]
blk.0.post_ffw_norm.weight

F32

[4608]

blk.1

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Q8_0

[4608, 2048]
blk.1.attn_norm.weight

F32

[4608]
blk.1.attn_output.weight

Q8_0

[4096, 4608]
blk.1.attn_q.weight

Q8_0

[4608, 4096]
blk.1.attn_v.weight

Q8_0

[4608, 2048]
blk.1.ffn_down.weight

Q8_0

[36864, 4608]
blk.1.ffn_gate.weight

Q8_0

[4608, 36864]
blk.1.ffn_norm.weight

F32

[4608]
blk.1.ffn_up.weight

Q8_0

[4608, 36864]
blk.1.post_attention_norm.weight

F32

[4608]
blk.1.post_ffw_norm.weight

F32

[4608]

blk.2

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Q8_0

[4608, 2048]
blk.2.attn_norm.weight

F32

[4608]
blk.2.attn_output.weight

Q8_0

[4096, 4608]
blk.2.attn_q.weight

Q8_0

[4608, 4096]
blk.2.attn_v.weight

Q8_0

[4608, 2048]
blk.2.ffn_down.weight

Q8_0

[36864, 4608]
blk.2.ffn_gate.weight

Q8_0

[4608, 36864]
blk.2.ffn_norm.weight

F32

[4608]
blk.2.ffn_up.weight

Q8_0

[4608, 36864]
blk.2.post_attention_norm.weight

F32

[4608]
blk.2.post_ffw_norm.weight

F32

[4608]

blk.3

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Q8_0

[4608, 2048]
blk.3.attn_norm.weight

F32

[4608]
blk.3.attn_output.weight

Q8_0

[4096, 4608]
blk.3.attn_q.weight

Q8_0

[4608, 4096]
blk.3.attn_v.weight

Q8_0

[4608, 2048]
blk.3.ffn_down.weight

Q8_0

[36864, 4608]
blk.3.ffn_gate.weight

Q8_0

[4608, 36864]
blk.3.ffn_norm.weight

F32

[4608]
blk.3.ffn_up.weight

Q8_0

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F32

[4608]
blk.3.post_ffw_norm.weight

F32

[4608]

blk.4

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Q8_0

[4608, 2048]
blk.4.attn_norm.weight

F32

[4608]
blk.4.attn_output.weight

Q8_0

[4096, 4608]
blk.4.attn_q.weight

Q8_0

[4608, 4096]
blk.4.attn_v.weight

Q8_0

[4608, 2048]
blk.4.ffn_down.weight

Q8_0

[36864, 4608]
blk.4.ffn_gate.weight

Q8_0

[4608, 36864]
blk.4.ffn_norm.weight

F32

[4608]
blk.4.ffn_up.weight

Q8_0

[4608, 36864]
blk.4.post_attention_norm.weight

F32

[4608]
blk.4.post_ffw_norm.weight

F32

[4608]

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F32

[4608]
blk.5.attn_output.weight

Q8_0

[4096, 4608]
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Q8_0

[4608, 4096]
blk.5.attn_v.weight

Q8_0

[4608, 2048]
blk.5.ffn_down.weight

Q8_0

[36864, 4608]
blk.5.ffn_gate.weight

Q8_0

[4608, 36864]
blk.5.ffn_norm.weight

F32

[4608]
blk.5.ffn_up.weight

Q8_0

[4608, 36864]
blk.5.post_attention_norm.weight

F32

[4608]
blk.5.post_ffw_norm.weight

F32

[4608]

blk.6

blk.6.attn_k.weight

Q8_0

[4608, 2048]
blk.6.attn_norm.weight

F32

[4608]
blk.6.attn_output.weight

Q8_0

[4096, 4608]
blk.6.attn_q.weight

Q8_0

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blk.6.attn_v.weight

Q8_0

[4608, 2048]
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Q8_0

[36864, 4608]
blk.6.ffn_gate.weight

Q8_0

[4608, 36864]
blk.6.ffn_norm.weight

F32

[4608]
blk.6.ffn_up.weight

Q8_0

[4608, 36864]
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F32

[4608]
blk.6.post_ffw_norm.weight

F32

[4608]

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Q8_0

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F32

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Q8_0

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F32

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Q8_0

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Q8_0

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Q8_0

[4608, 2048]
blk.8.ffn_down.weight

Q8_0

[36864, 4608]
blk.8.ffn_gate.weight

Q8_0

[4608, 36864]
blk.8.ffn_norm.weight

F32

[4608]
blk.8.ffn_up.weight

Q8_0

[4608, 36864]
blk.8.post_attention_norm.weight

F32

[4608]
blk.8.post_ffw_norm.weight

F32

[4608]

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Q8_0

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blk.9.attn_norm.weight

F32

[4608]
blk.9.attn_output.weight

Q8_0

[4096, 4608]
blk.9.attn_q.weight

Q8_0

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blk.9.attn_v.weight

Q8_0

[4608, 2048]
blk.9.ffn_down.weight

Q8_0

[36864, 4608]
blk.9.ffn_gate.weight

Q8_0

[4608, 36864]
blk.9.ffn_norm.weight

F32

[4608]
blk.9.ffn_up.weight

Q8_0

[4608, 36864]
blk.9.post_attention_norm.weight

F32

[4608]
blk.9.post_ffw_norm.weight

F32

[4608]

blk.10

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Q8_0

[4608, 2048]
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F32

[4608]
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Q8_0

[4096, 4608]
blk.10.attn_q.weight

Q8_0

[4608, 4096]
blk.10.attn_v.weight

Q8_0

[4608, 2048]
blk.10.ffn_down.weight

Q8_0

[36864, 4608]
blk.10.ffn_gate.weight

Q8_0

[4608, 36864]
blk.10.ffn_norm.weight

F32

[4608]
blk.10.ffn_up.weight

Q8_0

[4608, 36864]
blk.10.post_attention_norm.weight

F32

[4608]
blk.10.post_ffw_norm.weight

F32

[4608]

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Q8_0

[4608, 2048]
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F32

[4608]
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Q8_0

[4096, 4608]
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Q8_0

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Q8_0

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F32

[4608]
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F32

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F32

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F32

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Q8_0

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Q8_0

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Q8_0

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Q8_0

[36864, 4608]
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F32

[4608]
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F32

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F32

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Q8_0

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F32

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Q8_0

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Q8_0

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F32

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F32

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blk.13.post_ffw_norm.weight

F32

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Q8_0

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blk.14.attn_norm.weight

F32

[4608]
blk.14.attn_output.weight

Q8_0

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blk.14.attn_q.weight

Q8_0

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blk.14.attn_v.weight

Q8_0

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Q8_0

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F32

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F32

[4608]
blk.14.post_ffw_norm.weight

F32

[4608]

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Q8_0

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F32

[4608]
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Q8_0

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