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---
license_name: apache-2.0
language:
- en
base_model: louisbrulenaudet/Pearl-7B-0211-ties
datasets:
- cognitivecomputations/Dolphin-2.9
- teknium/OpenHermes-2.5
- m-a-p/CodeFeedback-Filtered-Instruction
- cognitivecomputations/dolphin-coder
- cognitivecomputations/samantha-data
- microsoft/orca-math-word-problems-200k
- Locutusque/function-calling-chatml
- internlm/Agent-FLAN
library_name: transformers
tags:
- mlx
- merge
- mergekit
- louisbrulenaudet/Pearl-7B-slerp
- WizardLM/WizardMath-7B-V1.1
- cognitivecomputations/WestLake-7B-v2-laser
- CultriX/NeuralTrix-7B-dpo
- chemistry
- biology
- math
pipeline_tag: text-generation
model-index:
- name: Pearl-7B-0211-ties
results:
- task:
type: text-generation
metrics:
- name: Average
type: Average
value: 75.11
- name: ARC
type: ARC
value: 71.42
- name: GSM8K
type: GSM8K
value: 70.66
- name: Winogrande
type: Winogrande
value: 84.37
- name: TruthfulQA
type: TruthfulQA
value: 71.46
- name: HellaSwag
type: HellaSwag
value: 88.86
source:
name: Open LLM Leaderboard
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
---
<center><img src='https://i.imgur.com/0xFTuAX.png' width='450px'></center>
# mlx-community/Pearl-7B
This model was converted to MLX format from [`louisbrulenaudet/Pearl-7B-0211-ties`]() using mlx-vlm version **0.15.2**.
Refer to the [original model card](louisbrulenaudet/Pearl-7B-0211-ties) for more details on the model.
## Use with mlx
```bash
pip install -U mlx-vlm
python -m mlx_vlm.generate --model mlx-community/Pearl-7B --max-tokens 100 --temp 0.0
```
```python
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Pearl-7B")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```
## Citing & Authors
If you use this code in your research, please use the following BibTeX entry.
```BibTeX
@misc{louisbrulenaudet2024,
author = {Louis Brulé Naudet},
title = {Pearl-7B-0211-ties, an xtraordinary 7B model},
year = {2024}
howpublished = {\url{https://huggingface.co/louisbrulenaudet/Pearl-7B-0211-ties}},
}
```
## Feedback
If you have any feedback, please reach out at [louisbrulenaudet@icloud.com](mailto:louisbrulenaudet@icloud.com). |