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---
license: apache-2.0
model-index:
- name: LMCocktail-Mistral-7B-v1
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
- type: acc_norm
value: 66.21
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Yhyu13/LMCocktail-Mistral-7B-v1
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args:
num_few_shot: 10
metrics:
- type: acc_norm
value: 85.69
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Yhyu13/LMCocktail-Mistral-7B-v1
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 61.64
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Yhyu13/LMCocktail-Mistral-7B-v1
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args:
num_few_shot: 0
metrics:
- type: mc2
value: 61.37
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Yhyu13/LMCocktail-Mistral-7B-v1
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args:
num_few_shot: 5
metrics:
- type: acc
value: 77.35
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Yhyu13/LMCocktail-Mistral-7B-v1
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 47.23
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Yhyu13/LMCocktail-Mistral-7B-v1
name: Open LLM Leaderboard
---
# LM-cocktail Mistral 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
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Yhyu13__LMCocktail-Mistral-7B-v1)
| Metric |Value|
|---------------------------------|----:|
|Avg. |66.58|
|AI2 Reasoning Challenge (25-Shot)|66.21|
|HellaSwag (10-Shot) |85.69|
|MMLU (5-Shot) |61.64|
|TruthfulQA (0-shot) |61.37|
|Winogrande (5-shot) |77.35|
|GSM8k (5-shot) |47.23|
|