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---
license: cc-by-nc-4.0
model-index:
- name: Mistral-7b-instruct-v0.2-summ-sft-dpo-e1
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: 73.98
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=silvercoder67/Mistral-7b-instruct-v0.2-summ-sft-dpo-e1
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: 89.27
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=silvercoder67/Mistral-7b-instruct-v0.2-summ-sft-dpo-e1
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: 64.16
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=silvercoder67/Mistral-7b-instruct-v0.2-summ-sft-dpo-e1
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: 72.79
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=silvercoder67/Mistral-7b-instruct-v0.2-summ-sft-dpo-e1
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: 84.45
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=silvercoder67/Mistral-7b-instruct-v0.2-summ-sft-dpo-e1
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: 66.79
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=silvercoder67/Mistral-7b-instruct-v0.2-summ-sft-dpo-e1
name: Open LLM Leaderboard
---
Description to load and test will be added soon. More details on training and data will be added aswell.
### **Loading the Model**
Use the following Python code to load the model:
```python
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
TBD
```
### **Generating Text**
To generate text, use the following Python code:
```python
text = "Hi, my name is "
inputs = tokenizer(text, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=64)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
```
# [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_silvercoder67__Mistral-7b-instruct-v0.2-summ-sft-dpo-e1)
| Metric |Value|
|---------------------------------|----:|
|Avg. |75.24|
|AI2 Reasoning Challenge (25-Shot)|73.98|
|HellaSwag (10-Shot) |89.27|
|MMLU (5-Shot) |64.16|
|TruthfulQA (0-shot) |72.79|
|Winogrande (5-shot) |84.45|
|GSM8k (5-shot) |66.79|
|