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Browse files- README.md +43 -0
- config.json +26 -0
- mergekit_config.yml +21 -0
- model-00001-of-00008.safetensors +3 -0
- model-00002-of-00008.safetensors +3 -0
- model-00003-of-00008.safetensors +3 -0
- model-00004-of-00008.safetensors +3 -0
- model-00005-of-00008.safetensors +3 -0
- model-00006-of-00008.safetensors +3 -0
- model-00007-of-00008.safetensors +3 -0
- model-00008-of-00008.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +43 -0
README.md
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---
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license: apache-2.0
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tags:
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- merge
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- mergekit
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- mlabonne/NeuralDaredevil-7B
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- Gille/StrangeMerges_21-7B-slerp
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- CultriX/NeuralTrix-7B-dpo
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---
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# pikus-pikantny-7B-dare
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pikus-pikantny-7B-dare is a DARE merge of the following models using [mergekit](https://github.com/cg123/mergekit):
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* [mlabonne/NeuralDaredevil-7B](https://huggingface.co/mlabonne/NeuralDaredevil-7B)
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* [Gille/StrangeMerges_21-7B-slerp](https://huggingface.co/Gille/StrangeMerges_21-7B-slerp)
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* [CultriX/NeuralTrix-7B-dpo](https://huggingface.co/CultriX/NeuralTrix-7B-dpo)
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See the paper [Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch](https://arxiv.org/abs/2311.03099) for more on the method.
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## 🧩 Configuration
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```yaml
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models:
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- model: bardsai/jaskier-7b-dpo-v5.6
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# No parameters necessary for base model
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- model: mlabonne/NeuralDaredevil-7B
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parameters:
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density: 0.53
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weight: 0.3
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- model: Gille/StrangeMerges_21-7B-slerp
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parameters:
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density: 0.53
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weight: 0.4
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- model: CultriX/NeuralTrix-7B-dpo
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parameters:
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density: 0.53
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weight: 0.3
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merge_method: dare_ties
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base_model: bardsai/jaskier-7b-dpo-v5.6
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parameters:
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int8_mask: true
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dtype: bfloat16
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```
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config.json
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{
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"_name_or_path": "bardsai/jaskier-7b-dpo-v5.6",
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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": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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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": true,
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"vocab_size": 32000
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}
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mergekit_config.yml
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models:
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- model: bardsai/jaskier-7b-dpo-v5.6
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# No parameters necessary for base model
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- model: mlabonne/NeuralDaredevil-7B
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parameters:
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density: 0.53
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weight: 0.3
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- model: Gille/StrangeMerges_21-7B-slerp
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parameters:
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density: 0.53
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weight: 0.4
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- model: CultriX/NeuralTrix-7B-dpo
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parameters:
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density: 0.53
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weight: 0.3
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merge_method: dare_ties
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base_model: bardsai/jaskier-7b-dpo-v5.6
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parameters:
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int8_mask: true
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dtype: bfloat16
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model-00001-of-00008.safetensors
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tokenizer.json
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tokenizer.model
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17 |
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"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"additional_special_tokens": [],
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"clean_up_tokenization_spaces": false,
|
33 |
+
"eos_token": "</s>",
|
34 |
+
"legacy": true,
|
35 |
+
"model_max_length": 32768,
|
36 |
+
"pad_token": "<unk>",
|
37 |
+
"padding_side": "right",
|
38 |
+
"sp_model_kwargs": {},
|
39 |
+
"spaces_between_special_tokens": false,
|
40 |
+
"tokenizer_class": "LlamaTokenizer",
|
41 |
+
"unk_token": "<unk>",
|
42 |
+
"use_default_system_prompt": false
|
43 |
+
}
|