transformers pytorch llama text-generation conversational dataset:teknium/GPT4-LLM-Cleaned arxiv:2306.00978 license:llama2 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: llama2
datasets:
- teknium/GPT4-LLM-Cleaned
---

# Model Card for traclm-v2-7b-instruct-GPTQ

This repo contains an AWQ quantization of [TRAC-MTRY/traclm-v2-7b-instruct](https://huggingface.co/TRAC-MTRY/traclm-v2-7b-instruct) for utilization of the model on low-resource hardware.

Read more about AWQ quantization [here](https://arxiv.org/abs/2306.00978).

Read more about the unquantized model [here](https://huggingface.co/TRAC-MTRY/traclm-v2-7b-instruct).

## Prompt Format

This model was fine-tuned with the alpaca prompt format. It is *highly* recommended that you use the same format for any interactions with the model. Failure to do so will degrade performance significantly.

Standard Alpaca Format:
```
### System:\nBelow is an instruction that describes a task. Write a response that appropriately completes the request.\n\n\n\n### Instruction:\n{prompt}\n\n### Response:\n "
```

Input Field Variant:
```
### System:\nBelow is an instruction that describes a task. Write a response that appropriately completes the request.\n\n\n\n### Instruction:\n{prompt}\n\n###Input:\n{input}\n\n### Response:\n "
```
