initial revision
Browse files- README.md +49 -0
- config.json +26 -0
- generation_config.json +6 -0
- model-00001-of-00011.safetensors +3 -0
- model-00002-of-00011.safetensors +3 -0
- model-00003-of-00011.safetensors +3 -0
- model-00004-of-00011.safetensors +3 -0
- model-00005-of-00011.safetensors +3 -0
- model-00006-of-00011.safetensors +3 -0
- model-00007-of-00011.safetensors +3 -0
- model-00008-of-00011.safetensors +3 -0
- model-00009-of-00011.safetensors +3 -0
- model-00010-of-00011.safetensors +3 -0
- model-00011-of-00011.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 +46 -0
README.md
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---
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license: cc-by-nc-4.0
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---
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---
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license: cc-by-nc-4.0
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tags:
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- merge
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- conversational
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- multi-task
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pipeline_tag: text-generation
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---
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# Winter Garden 7B - δ - "Charming"
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It was mentioned that we are in the open ai dark winter; so I thought I would make myself a nice winter garden.
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## An experiment
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I performed the same type of merge as in the previous model, but with a different set of models. I took the following models:
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* Mistral-7B-v0.1
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and merged in
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* KuNoichi-DPO-v2-7B
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* Datura_7B
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* AlphaMonarch-7B
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* LemonadeRP-4.5.3
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* Prima-LelantaclesV6-7b
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* FuseChat-7B-VaRM
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* Capricorn-7B-DPO
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* eros-7b-test
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* NeuralMarcoro14-7B
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* StrangeMerges_6-7B-dare_ties
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* Multi-Verse-RP-7B
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* WestLake-7B-v2-laser-truthy-dpo
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* Noromaid-7B-0.4-DPO
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* Thespis-Balanced-7b-v1
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* InfinityRP-v1-7B
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* winter-garden-7b-gamma
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in an iterative DARE-TIES tree merge, ordering the merge order by tensor-relative cosine similarity until the merge branches resolve to a single value.
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## Chat Template
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These models were selected because they follow my chat template, which is '</s>' ended turns. A lot of models follow this template by default because they were trained with end padding, so this is a natural choice for chat, and should be highly compatible with ST.
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```
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Tom: Hello, how are you?</s>
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Jane: I am fine, thank you.</s>
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```
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## Why?
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The purpose of all of these models is to act as a base for me to train on. This one so far has the best multi-turn conversational ability, and should get really good at following long-form conversations after a bit of tweaking.
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config.json
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{
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"_name_or_path": "Mistral-7B-v0.1",
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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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generation_config.json
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"eos_token_id": 2,
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"transformers_version": "4.38.1"
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tokenizer.json
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tokenizer.model
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tokenizer_config.json
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1 |
+
{
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+
"add_bos_token": true,
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3 |
+
"add_eos_token": false,
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4 |
+
"added_tokens_decoder": {
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+
"0": {
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"content": "<unk>",
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+
"lstrip": false,
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8 |
+
"normalized": false,
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9 |
+
"rstrip": false,
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+
"single_word": false,
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11 |
+
"special": true
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+
},
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+
"1": {
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+
"content": "<s>",
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+
"lstrip": false,
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+
"normalized": false,
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+
"rstrip": false,
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+
"single_word": false,
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+
"special": true
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+
},
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+
"2": {
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+
"content": "</s>",
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+
"lstrip": false,
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+
"normalized": false,
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+
"rstrip": false,
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26 |
+
"single_word": false,
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+
"special": true
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+
}
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+
},
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+
"additional_special_tokens": [],
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"bos_token": "<s>",
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"add_generation_prompt": false,
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"chat_template": "{% for message in messages %}{% if 'name' in message %}{{ message['name'] }}{{ ': ' }}{% elif 'role' in message %}{{ message['role'][0]|upper + message['role'][1:] }}{{ ': ' }}{% endif %}{% if 'content' in message %}{{ message['content'] }}{% endif %}{{eos_token}}{{'\n'}}{% if loop.last and add_generation_prompt %}{% if 'to' in message %}{{ message['to'] + ': ' }}{% else %}{{ 'Assistant: ' }}{% endif %}{% endif %}{% endfor %}",
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34 |
+
"clean_up_tokenization_spaces": false,
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35 |
+
"eos_token": "</s>",
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+
"legacy": true,
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37 |
+
"model_max_length": 1000000000000000019884624838656,
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38 |
+
"pad_token": "<unk>",
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39 |
+
"padding_side": "right",
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40 |
+
"sp_model_kwargs": {},
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41 |
+
"spaces_between_special_tokens": false,
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42 |
+
"tokenizer_class": "LlamaTokenizer",
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43 |
+
"unk_token": "<unk>",
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44 |
+
"use_default_system_prompt": false,
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45 |
+
"use_fast": true
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46 |
+
}
|