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Alpaca_eval/LMCocktail-Mistral-7B-v1/configs.yaml

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+LMCocktail-Mistral-7B-v1:
+  prompt_template: "LMCocktail-Mistral-7B-v1/prompt.txt"
+  fn_completions: "huggingface_local_completions"
+  completions_kwargs:
+    model_name: "/media/hangyu5/Home/Documents/Hugging-Face/LM_cocktail/LMCocktail-Mistral-7B-v1"
+    model_kwargs:
+      torch_dtype: 'bfloat16'
+    max_new_tokens: 2048
+    temperature: 0.7
+    top_p: 1.0
+    do_sample: True
+  pretty_name: "LMCocktail-Mistral-7B-v1"
+  link: "https://huggingface.co/HuggingFaceH4/zephyr-7b-beta"

Alpaca_eval/LMCocktail-Mistral-7B-v1/prompt.txt

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+[INST]{instruction} [/INST]

Alpaca_eval/chatgpt_fn_--LMCocktail-Mistral-7B-v1/leaderboard.csv

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+,win_rate,standard_error,n_wins,n_wins_base,n_draws,n_total,mode,avg_length
+gpt4,73.7888198757764,1.5359801545073597,588,205,12,805,minimal,1365
+LMCocktail-Mistral-7B-v1,73.54037267080746,1.553218322454399,591,212,2,805,community,1870
+claude,70.37267080745342,1.599519507147828,562,234,9,805,minimal,1082
+chatgpt,66.08695652173913,1.6626479994330317,529,270,6,805,minimal,811
+wizardlm-13b,65.15527950310559,1.670034107787565,520,276,9,805,minimal,985
+vicuna-13b,64.09937888198758,1.6895185863153146,515,288,2,805,minimal,1037
+guanaco-65b,62.36024844720497,1.7086348811605765,502,303,0,805,minimal,1249
+oasst-rlhf-llama-33b,62.0496894409938,1.7080028976103514,498,304,3,805,minimal,1079
+alpaca-farm-ppo-human,60.24844720496895,1.7169496733548772,481,316,8,805,minimal,803
+falcon-40b-instruct,56.52173913043478,1.7438750520312944,453,348,4,805,minimal,662
+text_davinci_003,50.0,0.0,0,0,805,805,minimal,307
+alpaca-7b,45.21739130434783,1.7375846781579476,356,433,16,805,minimal,396
+text_davinci_001,28.07453416149068,1.5602183426587484,216,569,20,805,minimal,296

README.md

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 ---
 license: apache-2.0
 ---
+
+# LM-cocktail 10.7B v1
+
+
+This is a 50%-50% model of two best Mistral models
+
+https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2
+
+https://huggingface.co/xDAN-AI/xDAN-L1-Chat-RL-v1
+
+both claimed to be better than chatgpt-3.5-turbo in almost all metrics.
+
+# Alpaca Eval
+
+I am thrilled to announce that ChatGPT has ranked LMCocktail 7B as the second best model next to GPT4 on AlpcaEval in my local community run, even greater than my previously best [LMCocktail-10.7B-v1](https://huggingface.co/Yhyu13/LMCocktail-10.7B-v1.git) model. You can also check the leaderboard at [./Alpaca_eval/chatgpt_fn_--LMCocktail-Mistral-7B-v1/](./Alpaca_eval/chatgpt_fn_--LMCocktail-Mistral-7B-v1/)
+
+```
+                        win_rate  standard_error  n_total  avg_length
+gpt4                       73.79            1.54      805        1365
+LMCocktail-7B-v1(new)      73.54            1.55      805        1870
+LMCocktail-10.7B-v1(new)   73.45            1.56      804        1203
+claude                     70.37            1.60      805        1082
+chatgpt                    66.09            1.66      805         811
+wizardlm-13b               65.16            1.67      805         985
+vicuna-13b                 64.10            1.69      805        1037
+guanaco-65b                62.36            1.71      805        1249
+oasst-rlhf-llama-33b       62.05            1.71      805        1079
+alpaca-farm-ppo-human      60.25            1.72      805         803
+falcon-40b-instruct        56.52            1.74      805         662
+text_davinci_003           50.00            0.00      805         307
+alpaca-7b                  45.22            1.74      805         396
+text_davinci_001           28.07            1.56      805         296
+```
+
+
+# Code
+
+The LM-cocktail is novel technique for merging multiple models https://arxiv.org/abs/2311.13534
+
+Code is backed up by this repo https://github.com/FlagOpen/FlagEmbedding.git
+
+Merging scripts available under the [./scripts](./scripts) folder

added_tokens.json

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+{
+  "</s>": 2,
+  "<s>": 1,
+  "<unk>": 0
+}

config.json

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+{
+  "_name_or_path": "./mixed_llm",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.34.0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.34.0"
+}

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+    "model.norm.weight": "pytorch_model-00002-of-00002.bin"
+  }
+}

scripts/convert.py

@@ -0,0 +1,13 @@
+from transformers import AutoModelForCausalLM
+import torch
+import torch.utils.dlpack
+
+# Load the original model
+model_name = "./mixed_llm"
+model = AutoModelForCausalLM.from_pretrained(model_name, trust_remote_code=True)
+
+# Convert the model to a different precision
+model = model.bfloat16()
+
+# Save the model as a safetensor
+model.save_pretrained(f"./mixed_llm_half", safetensors=True)

scripts/merge.py

@@ -0,0 +1,22 @@
+from LM_Cocktail import mix_models_by_layers
+import argparse
+
+if __name__ == "__main__":
+
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--model_type", type=str, default="decoder", help="Type of model to be mixed")
+    parser.add_argument("--output_path", type=str, default="./mixed_llm", help="Path to save the mixed model")
+    parser.add_argument("--max_length", type=int, default=100, help="Maximum length of the sequence to be generated")
+    parser.add_argument("--models", type=str, nargs='+', default=["meta-llama/Llama-2-7b-chat-hf", "Shitao/llama2-ag-news"], help="Path to the models to be mixed")
+    parser.add_argument("--weights", type=float, nargs='+', default=[0.7, 0.3], help="Weights of the models to be mixed")
+    parser.add_argument("--save_precision", type=str, default='float32', help="mixed model saved format")
+    args = parser.parse_args()
+
+    # Mix Large Language Models (LLMs) and save the combined model to the path: ./mixed_llm
+    model = mix_models_by_layers(
+        model_names_or_paths=args.models, 
+        model_type=args.model_type, 
+        weights=args.weights, 
+        output_path=args.output_path)
+
+    print(model)

scripts/merge.sh

@@ -0,0 +1,16 @@
+#!/bin/bash
+eval "$(conda shell.bash hook)"
+conda activate llmcocktail
+
+# MODEL1=/media/hangyu5/Home/Documents/Hugging-Face/LM_cocktail/meow
+# MODEL2=/media/hangyu5/Home/Documents/Hugging-Face/LM_cocktail/SOLAR-10.7B-Instruct-v1.0
+# MODEL1=/media/hangyu5/Home/Documents/Hugging-Face/LLaMA_Factory/phi-2-sft-alpaca_gpt4_en-ep1
+# MODEL2=/media/hangyu5/Home/Documents/Hugging-Face/LLaMA_Factory/phi-2-ultrachat200K-merged
+
+MODEL1=/media/hangyu5/Home/Documents/Hugging-Face/LM_cocktail/Mistral-7B-Instruct-v0.2
+MODEL2=/media/hangyu5/Home/Documents/Hugging-Face/LM_cocktail/xDAN-L1-Chat-RL-v1
+
+CUDA_VISIBLE_DEVICES=1 python merge.py \
+    --models $MODEL1 $MODEL2 \
+    --weights 0.5 0.5 \
+    |& tee ./merge.log

special_tokens_map.json

@@ -0,0 +1,10 @@
+{
+  "additional_special_tokens": [
+    "<unk>",
+    "<s>",
+    "</s>"
+  ],
+  "bos_token": "<s>",
+  "eos_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
+size 493443

tokenizer_config.json

@@ -0,0 +1,45 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<unk>",
+    "<s>",
+    "</s>"
+  ],
+  "bos_token": "<s>",
+  "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": null,
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}