Text Generation
PEFT
Safetensors
GGUF
lora
sft
unsloth
tool-calling
function-calling
agent
reasoning
qwen2
deepseek
conversational
Instructions to use Flexingmeow/Chimera-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Flexingmeow/Chimera-14B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2") model = PeftModel.from_pretrained(base_model, "Flexingmeow/Chimera-14B") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use Flexingmeow/Chimera-14B 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 Flexingmeow/Chimera-14B 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 Flexingmeow/Chimera-14B to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Flexingmeow/Chimera-14B to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Flexingmeow/Chimera-14B", max_seq_length=2048, )
- Xet hash:
- 91a24542e3d67d5c8cfc0ebe0bcc575abf3665526735d19d20cca9b19049ff95
- Size of remote file:
- 11.4 MB
- SHA256:
- 54d8e5cbb58b146d04f06f4a2764574d6127dabde0dfced98b0e763b8b03432a
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