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Model: Mihaiii/dolphin-2.6-mistral-7b-dpo-5.93B Source: Original Platform
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README.md
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README.md
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---
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datasets:
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- ehartford/dolphin
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- jondurbin/airoboros-2.2.1
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- ehartford/dolphin-coder
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- teknium/openhermes
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- ise-uiuc/Magicoder-OSS-Instruct-75K
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- ise-uiuc/Magicoder-Evol-Instruct-110K
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- LDJnr/Capybara
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language:
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- en
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license: apache-2.0
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---
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This is a pruned version of [cognitivecomputations/dolphin-2.6-mistral-7b-dpo](https://huggingface.co/cognitivecomputations/dolphin-2.6-mistral-7b-dpo) from 7.24B params to 5.93B params (~ 82%).
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# Steps to replicate:
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Use [laserQlora.ipynb](https://github.com/cognitivecomputations/laserRMT/blob/main/laserQlora.ipynb) from [cognitivecomputations/laserRMT](https://github.com/cognitivecomputations/laserRMT) to determine which layers should be eliminated.
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Replace `model_name = "mistralai/Mistral-7B-v0.1"` with `model_name = "cognitivecomputations/dolphin-2.6-mistral-7b-dpo"`.
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I also ran the script only for `self_attn.v_proj` (so change the script to `layer_types=["self_attn.v_proj"]`)
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Order by snr descending and eliminate top layers using [mergekit](https://github.com/arcee-ai/mergekit).
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The threshold for elimination is up to you, depeding on how many layers you want removed. I decided to remove 6 layers (indexes: 3, 5, 16, 18, 19, 24 )
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Here is the mergekit config:
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```yml
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slices:
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- sources:
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- model: "cognitivecomputations/dolphin-2.6-mistral-7b-dpo"
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layer_range: [0, 3]
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- sources:
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- model: "cognitivecomputations/dolphin-2.6-mistral-7b-dpo"
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layer_range: [4, 5]
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- sources:
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- model: "cognitivecomputations/dolphin-2.6-mistral-7b-dpo"
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layer_range: [6, 16]
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- sources:
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- model: "cognitivecomputations/dolphin-2.6-mistral-7b-dpo"
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layer_range: [17, 18]
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- sources:
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- model: "cognitivecomputations/dolphin-2.6-mistral-7b-dpo"
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layer_range: [20, 24]
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- sources:
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- model: "cognitivecomputations/dolphin-2.6-mistral-7b-dpo"
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layer_range: [25, 32]
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merge_method: passthrough
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dtype: bfloat16
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```
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The model outputted by mergekit with this configuration is this model (dolphin-2.6-mistral-7b-dpo-5.93B).
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added_tokens.json
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"<|im_start|>": 32000
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}
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config.json
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config.json
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{
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"_name_or_path": "dolphin-2.6-mistral-7b-dpo-pruned",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 26,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.38.1",
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"use_cache": false,
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"vocab_size": 32001
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}
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"use_cache": false
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}
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}
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||||
}
|
||||
30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
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|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
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|
||||
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|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
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|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
91131
tokenizer.json
Normal file
91131
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
32055
tokenizer_config.json
Normal file
32055
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user