---
license: apache-2.0
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
datasets:
- cerebras/SlimPajama-627B
- bigcode/starcoderdata
- HuggingFaceH4/ultrachat_200k
- HuggingFaceH4/ultrafeedback_binarized
language:
- en
widget:
  - example_title: Fibonacci (Python)
    messages:
    - role: system
      content: You are a chatbot who can help code!
    - role: user
      content: Write me a function to calculate the first 10 digits of the fibonacci sequence in Python and print it out to the CLI.
tags:
- transformers
- safetensors
- finetuned
- 4-bit
- AWQ
- text-generation
- text-generation-inference
- autotrain_compatible
- endpoints_compatible
- chatml
model_creator: TinyLlama
model_name: TinyLlama-1.1B-Chat-v1.0
inference: false
pipeline_tag: text-generation
quantized_by: Suparious
---
# TinyLlama/TinyLlama-1.1B-Chat-v1.0 AWQ

- Model creator: [TinyLlama](https://huggingface.co/TinyLlama)
- Original model: [TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0)

## Model Summary

This is the chat model finetuned on top of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T). **We follow [HF's Zephyr](https://huggingface.co/HuggingFaceH4/zephyr-7b-alpha)'s training recipe.** The model was " initially fine-tuned on a variant of the [`UltraChat`](https://huggingface.co/datasets/stingning/ultrachat) dataset, which contains a diverse range of synthetic dialogues generated by ChatGPT. 
We then further aligned the model with [🤗 TRL's](https://github.com/huggingface/trl) `DPOTrainer` on the [openbmb/UltraFeedback](https://huggingface.co/datasets/openbmb/UltraFeedback) dataset, which contain 64k prompts and model completions that are ranked by GPT-4."