Chaser-cz/sonnet35-charcard-roleplay-sharegpt
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How to use wqerrewetw/Qwen-2.5-7B-1M-RRP-v1-lora-F16-GGUF with Transformers:
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("wqerrewetw/Qwen-2.5-7B-1M-RRP-v1-lora-F16-GGUF", dtype="auto")How to use wqerrewetw/Qwen-2.5-7B-1M-RRP-v1-lora-F16-GGUF with Unsloth Studio:
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 wqerrewetw/Qwen-2.5-7B-1M-RRP-v1-lora-F16-GGUF to start chatting
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 wqerrewetw/Qwen-2.5-7B-1M-RRP-v1-lora-F16-GGUF to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for wqerrewetw/Qwen-2.5-7B-1M-RRP-v1-lora-F16-GGUF to start chatting
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="wqerrewetw/Qwen-2.5-7B-1M-RRP-v1-lora-F16-GGUF",
max_seq_length=2048,
)This LoRA adapter was converted to GGUF format from bunnycore/Qwen-2.5-7B-1M-RRP-v1-lora via the ggml.ai's GGUF-my-lora space.
Refer to the original adapter repository for more details.
# with cli
llama-cli -m base_model.gguf --lora Qwen-2.5-7B-1M-RRP-v1-lora-f16.gguf (...other args)
# with server
llama-server -m base_model.gguf --lora Qwen-2.5-7B-1M-RRP-v1-lora-f16.gguf (...other args)
To know more about LoRA usage with llama.cpp server, refer to the llama.cpp server documentation.
16-bit
Base model
Qwen/Qwen2.5-7B