Transformers
Safetensors
English
text-generation-inference
unsloth
mixtral
mixture-of-experts
qlora
code-generation
python-coder
code-alpaca
How to use from
Unsloth StudioInstall Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Puxis97/Mixtral-8x7B-Python-Coder-CodeAlpaca to start chattingUsing HuggingFace Spaces for Unsloth
# No setup required# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Puxis97/Mixtral-8x7B-Python-Coder-CodeAlpaca to start chattingLoad model with FastModel
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="Puxis97/Mixtral-8x7B-Python-Coder-CodeAlpaca",
max_seq_length=2048,
)Quick Links
Puxis97/Mixtral-8x7B-Python-Coder-CodeAlpaca 🐍
This model is a Mixtral 8x7B Instruct model fine-tuned using QLoRA on the CodeAlpaca 20K dataset to specialize in Python code instruction following and generation.
- Developed by: Puxis97
- License: apache-2.0
- Finetuned from model : mistralai/Mixtral-8x7B-Instruct-v0.1
Training Details
This fine-tuned model was built for high-efficiency using Unsloth's QLoRA optimizations and the Hugging Face TRL library, resulting in a powerful, instruction-following code generation model that runs on consumer GPUs.
| Setting | Value |
|---|---|
| Base Model | mistralai/Mixtral-8x7B-Instruct-v0.1 |
| Dataset | HuggingFaceH4/CodeAlpaca_20K |
| Method | QLoRA (4-bit quantization) |
| Task | Code Instruction Following / Python Coding |
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Model tree for Puxis97/Mixtral-8x7B-Python-Coder-CodeAlpaca
Base model
mistralai/Mixtral-8x7B-v0.1 Finetuned
mistralai/Mixtral-8x7B-Instruct-v0.1
Install Unsloth Studio (macOS, Linux, WSL)
# Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Puxis97/Mixtral-8x7B-Python-Coder-CodeAlpaca to start chatting