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pharrow/TinyLlama-HTMLWeb-coder

sourceHugging Faceupdated 1y agoView on Hugging Face
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license: apache-2.0 tags:

  • —tinyllama
  • —causal-lm
  • —merged-lora basemodel: TinyLlama/TinyLlama-1.1B-Chat-v1.0 mergedfrom:
  • —snaplora-adapted ---

# TinyLlama (Merged LoRA)

This repository contains a TinyLlama model with LoRA weights merged into the base.

  • —Base model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
  • —Adapter: snaplora-adapted
  • —Merge date: 2025-09-14 23:12:26Z UTC

## Usage

python
    from transformers import AutoModelForCausalLM, AutoTokenizer
    import torch

    model_id = "<this-repo-id>"
    tok = AutoTokenizer.from_pretrained(model_id, use_fast=True)
    model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.float16, device_map="auto")

    prompt = "Write a haiku about tiny models."
    inputs = tok(prompt, return_tensors="pt").to(model.device)
    with torch.no_grad():
        out = model.generate(**inputs, max_new_tokens=64)
    print(tok.decode(out[0], skip_special_tokens=True))

## Notes

  • —The adapter was merged into the base weights using peft.PeftModel.merge_and_unload().
  • —Files are saved with safetensors when possible.