---
license: apache-2.0
datasets:
- databricks/databricks-dolly-15k
---

# Instruct_Mixtral-7B-v0.1_Dolly15K
Fine-tuned from Mixtral-7B-v0.1， used Dolly15k for the dataset. 90% for training, 10% validation.  Trained for 2.0 epochs using Lora.  Trained with 1024 context window.

# Model Details
* **Trained by**: trained by HenryJJ.
* **Model type:**  **Instruct_Mixtral-7B-v0.1_Dolly15K** is an auto-regressive language model based on the Llama 2 transformer architecture.
* **Language(s)**: English
* **License for Instruct_Mixtral-7B-v0.1_Dolly15K**: apache-2.0 license


# Prompting

## Prompt Template With Context

```
Write a 10-line poem about a given topic

Input:

The topic is about racecars

Output:
```
## Prompt Template Without Context
```
Who was the was the second president of the United States?

Output:
```

# Training script:
Fully opensourced at: https://github.com/hengjiUSTC/learn-llm/blob/main/trl_finetune.py. 

## Latest results

These are the [latest results from run 2024-01-04T13:27:32.660899](https://huggingface.co/datasets/open-llm-leaderboard/details_HenryJJ__Instruct_Mistral-7B-v0.1_Dolly15K/blob/main/results_2024-01-04T13-27-32.660899.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):

```python
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}
```