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Browse files- README.md +54 -0
- config.json +26 -0
- mergekit_config.yml +16 -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
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- 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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library_name: transformers
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tags:
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- mergekit
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- merge
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- roleplay
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- mistral
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---
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# Information
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Attempt to at extending context window for an older Mistral-v0.1 model.
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It seems to work fine at 16K.
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ChatML and Alpaca work.
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# Irene-RP-v4-7B
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the SLERP merge method.
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### Models Merged
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The following models were included in the merge:
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* [Virt-io/Irene-RP-v3-7B](https://huggingface.co/Virt-io/Irene-RP-v3-7B)
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* [Virt-io/Helen-v1_7B](https://huggingface.co/Virt-io/Helen-v1_7B)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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slices:
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- sources:
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- model: Virt-io/Helen-v1_7B
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layer_range: [0, 32]
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- model: Virt-io/Irene-RP-v3-7B
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layer_range: [0, 32]
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merge_method: slerp
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base_model: Virt-io/Helen-v1_7B
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parameters:
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t:
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- filter: self_attn
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value: [0.25, 0.45, 0.50, 0.20, 0.25]
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- filter: mlp
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value: [0.35, 0.45, 0.55, 0.20, 0.25]
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- value: 0.25 # fallback for rest of tensors
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dtype: float16
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```
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config.json
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{
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"_name_or_path": "Virt-io/Helen-v1_7B",
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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": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.39.2",
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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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slices:
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- sources:
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- model: /mnt/NVME/Models/HF/layla-herin_v1
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layer_range: [0, 32]
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- model: Virt-io/Irene-RP-v3-7B
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layer_range: [0, 32]
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merge_method: slerp
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base_model: /mnt/NVME/Models/HF/layla-herin_v1
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parameters:
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t:
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- filter: self_attn
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value: [0.25, 0.45, 0.50, 0.20, 0.25]
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- filter: mlp
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value: [0.35, 0.45, 0.55, 0.20, 0.25]
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- value: 0.25 # fallback for rest of tensors
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dtype: float16
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tokenizer.json
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tokenizer.model
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16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
}
|
30 |
+
},
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"chat_template": "{%- set ns = namespace(found=false) -%}{%- for message in messages -%}{%- if message['role'] == 'system' -%}{%- set ns.found = true -%}{%- endif -%}{%- endfor -%}{%- for message in messages %}{%- if message['role'] == 'system' -%}{{- '<|im_start|>system\n' + message['content'].rstrip() + '<|im_end|>\n' -}}{%- else -%}{%- if message['role'] == 'user' -%}{{-'<|im_start|>user\n' + message['content'].rstrip() + '<|im_end|>\n'-}}{%- else -%}{{-'<|im_start|>assistant\n' + message['content'] + '<|im_end|>\n' -}}{%- endif -%}{%- endif -%}{%- endfor -%}{%- if add_generation_prompt -%}{{-'<|im_start|>assistant\n'-}}{%- endif -%}",
|
33 |
+
"clean_up_tokenization_spaces": false,
|
34 |
+
"eos_token": "</s>",
|
35 |
+
"legacy": true,
|
36 |
+
"model_max_length": 1000000000000000019884624838656,
|
37 |
+
"pad_token": "</s>",
|
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 |
+
}
|