Safetensors
English
mistral
codestral-22b
unsloth
finetuned
large-language-model
typeinference
python
Instructions to use rbharmal/finetuned_Codestral-22B-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use rbharmal/finetuned_Codestral-22B-v0.1 with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for rbharmal/finetuned_Codestral-22B-v0.1 to start chatting
Install 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 rbharmal/finetuned_Codestral-22B-v0.1 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for rbharmal/finetuned_Codestral-22B-v0.1 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="rbharmal/finetuned_Codestral-22B-v0.1", max_seq_length=2048, )
- Xet hash:
- 5067815db26328d2b353a009665277f1d88c568c21c90903bbcd61bd3f822787
- Size of remote file:
- 588 kB
- SHA256:
- 9addc8bdce5988448ae81b729336f43a81262160ae8da760674badab9d4c7d33
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