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---
language:
- en
license: apache-2.0
datasets:
- HuggingFaceH4/ultrachat_200k
model-index:
- name: Mixtral-8x7b-v0.1-sft
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: 66.55
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vistagi/Mixtral-8x7b-v0.1-sft
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: 86.4
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vistagi/Mixtral-8x7b-v0.1-sft
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: 71.65
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vistagi/Mixtral-8x7b-v0.1-sft
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: 46.74
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vistagi/Mixtral-8x7b-v0.1-sft
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: 81.53
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vistagi/Mixtral-8x7b-v0.1-sft
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: 56.18
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vistagi/Mixtral-8x7b-v0.1-sft
name: Open LLM Leaderboard
---
# Introduction
This model vistagi/Mixtral-8x7b-v0.1-sft is trained with Ultrachat-200K dataset through supervised finetuning using Mixtral-8x7b-v0.1 as the baseline model.
The training is done with bfloat16 precision using LoRA.
## Details
Used Librarys
- torch
- deepspeed
- pytorch lightning
- transformers
- peft
# [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_vistagi__Mixtral-8x7b-v0.1-sft)
| Metric |Value|
|---------------------------------|----:|
|Avg. |68.18|
|AI2 Reasoning Challenge (25-Shot)|66.55|
|HellaSwag (10-Shot) |86.40|
|MMLU (5-Shot) |71.65|
|TruthfulQA (0-shot) |46.74|
|Winogrande (5-shot) |81.53|
|GSM8k (5-shot) |56.18|
|