Text Generation
PEFT
Safetensors
llama
frontend
analysis
requirements
chinese
lora
sft
trl
unsloth
conversational
Instructions to use MANSTAGE/analysis-llm-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MANSTAGE/analysis-llm-v1 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use MANSTAGE/analysis-llm-v1 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 MANSTAGE/analysis-llm-v1 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 MANSTAGE/analysis-llm-v1 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for MANSTAGE/analysis-llm-v1 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="MANSTAGE/analysis-llm-v1", max_seq_length=2048, )
| { | |
| "architectures": [ | |
| "LlamaForCausalLM" | |
| ], | |
| "model_type": "llama", | |
| "torch_dtype": "float16", | |
| "transformers_version": "4.44.0", | |
| "task_specific_params": { | |
| "text-generation": {} | |
| } | |
| } |