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---
license: apache-2.0
library_name: transformers
datasets:
- andysalerno/ansalern-nectar-inputoutput
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: mistral-sft-v3
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: 61.35
name: normalized accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=andysalerno/mistral-sft-v3
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: 82.23
name: normalized accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=andysalerno/mistral-sft-v3
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: 63.4
name: accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=andysalerno/mistral-sft-v3
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: 48.49
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=andysalerno/mistral-sft-v3
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: 77.66
name: accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=andysalerno/mistral-sft-v3
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: 32.45
name: accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=andysalerno/mistral-sft-v3
name: Open LLM Leaderboard
---
This is [mistralai/Mistral-7B-v0.1](https://huggingface.co./mistralai/Mistral-7B-v0.1), but with the special tokens added for ChatML, and then lightly finetuned with sft using a ChatML formatted dataset: [andysalerno/ansalern-nectar-inputoutput](https://huggingface.co./datasets/andysalerno/ansalern-nectar-inputoutput)
The training was very light, so while this model correctly follows ChatML formatting, it is not intended to be a chat model.
Rather, it is intended to be a base for further fine-tuning models that will use ChatML.
# [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_andysalerno__mistral-sft-v3)
| Metric |Value|
|---------------------------------|----:|
|Avg. |60.93|
|AI2 Reasoning Challenge (25-Shot)|61.35|
|HellaSwag (10-Shot) |82.23|
|MMLU (5-Shot) |63.40|
|TruthfulQA (0-shot) |48.49|
|Winogrande (5-shot) |77.66|
|GSM8k (5-shot) |32.45|
|