Local LLM could not connect

[shamin10]

Hi, thank you for the wonderful this code. I have downloaded the model from huggingface but when i try to load from prompt load , I could not be able to load Can you pls help me. I don't want to load model thru huggingface app key

[doberst]

Thanks for the feedback. Sorry you have run into an issue. Which model are you trying to use?

[shamin10]

Thank you I'm trying to use bling-sheared-llama-1.3b-0.1 I have downloaded this model to my PC. I want to use

Load model directly

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("llmware/bling-sheared-llama-1.3b-0.1") model = AutoModelForCausalLM.from_pretrained("llmware/bling-sheared-llama-1.3b-0.1")

I changed the path to my c drive . But getting error , seemilike I have to have huggingface api token?

[philipkd]

Hmm, can you provide the error? I ran those three lines of code, and it seems to download the model fine.

[chair300]

where you able to get the model running? Were you able to run the model outside the frameware with the ollama command?

[JeremyBickel]

If I understand the OP correctly, then I want to know this, too. How do I load a model from a non-standard location on my local drive? It's a GGUF, and it's not in the huggingface cache system at all. load_model() seems to expect a huggingface model path.

Reference issue: https://github.com/llmware-ai/llmware/issues/433

[joyce0105-ops]

Thank you I'm trying to use bling-sheared-llama-1.3b-0.1 I have downloaded this model to my PC. I want to use

Load model directly

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("llmware/bling-sheared-llama-1.3b-0.1") model = AutoModelForCausalLM.from_pretrained("llmware/bling-sheared-llama-1.3b-0.1")

I changed the path to my c drive . But getting error , seemilike I have to have huggingface api token?

haved you solved the problem？