初始化项目,由ModelHub XC社区提供模型
Model: kshabana/GOAT-coder-llama3.1-8b Source: Original Platform
This commit is contained in:
108
README.md
Normal file
108
README.md
Normal file
@@ -0,0 +1,108 @@
|
||||
---
|
||||
base_model: unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit
|
||||
language:
|
||||
- en
|
||||
license: apache-2.0
|
||||
tags:
|
||||
- text-generation-inference
|
||||
- transformers
|
||||
- unsloth
|
||||
- llama
|
||||
- trl
|
||||
- sft
|
||||
- safetersors
|
||||
- pytorch
|
||||
- coding
|
||||
- finetuned
|
||||
datasets:
|
||||
- Replete-AI/code_bagel
|
||||
---
|
||||

|
||||
|
||||
|
||||
# INTRO
|
||||
|
||||
we are happy to announce our frist coding model
|
||||
|
||||
# Model Card for Model ID
|
||||
|
||||
this is a finetune model of [llama3.1](https://llama.meta.com) that can perform well in coding
|
||||
|
||||
|
||||
|
||||
- **Developed by: [kshabana4ai](https://huggingface.co/kshabana-ai)
|
||||
- **Funded by no one
|
||||
- **Shared by kshabana
|
||||
- **Model type: safetensors and gguf
|
||||
- **Language(s) English
|
||||
- **License:** Apache2.0
|
||||
- **Finetuned from model [llama3.1-instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct)
|
||||
|
||||
|
||||
#### installation
|
||||
|
||||
download [ollama](https://ollama.com/download)
|
||||
|
||||
```bash
|
||||
ollama run hf.co/kshabana/GOAT-coder-llama3.1-8b:Q4_K_M
|
||||
```
|
||||
|
||||
### Model Sources
|
||||
|
||||
https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct
|
||||
|
||||
- **Dataset Repository:**
|
||||
|
||||
https://huggingface.co/datasets/Replete-AI/code_bagel
|
||||
|
||||
## Uses
|
||||
|
||||
This model is finetuned specifically for coding and it has a 131072 context lingth.
|
||||
|
||||
|
||||
|
||||
## Bias, Risks, and Limitations
|
||||
|
||||
it can some times produce a wrong answers.
|
||||
|
||||
|
||||
|
||||
### Recommendations
|
||||
|
||||
NOTE: you shold have [lm studio](https://lmstudio.ai/) or [ollama](https://ollama.com) to use this model
|
||||
|
||||
IN LM-STUDIO: it is recommended to use this model with the defult lm-studio configration.
|
||||
|
||||
IN OLLAMA: we will be pushing the model soon to ollama.
|
||||
|
||||
|
||||
|
||||
## Training Details
|
||||
|
||||
model trained with unsloth.
|
||||
|
||||
### Training Data
|
||||
|
||||
the training dataset that i used: https://huggingface.co/datasets/Replete-AI/code_bagel
|
||||
|
||||
## IMPORTANT LINKS
|
||||
|
||||
OLLAMA: https://ollama.com
|
||||
|
||||
LM-STUDIO: https://lmstudio.ai
|
||||
|
||||
llama3.1: instruct: https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct
|
||||
|
||||
dataset: https://huggingface.co/datasets/Replete-AI/code_bagel
|
||||
|
||||
|
||||
|
||||
|
||||
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
|
||||
|
||||
[<img src="" width="200"/>](https://github.com/unslothai/unsloth)
|
||||
|
||||
kshabana4ai
|
||||
|
||||
 width="200"/>](https://huggingface.co/kshabana-ai)
|
||||
|
||||
Reference in New Issue
Block a user