---
datasets:
- HuggingFaceH4/ultrachat_200k
base_model:
- meta-llama/Meta-Llama-3-70B-Instruct
library_name: transformers
---

## meta-llama/Meta-Llama-3-70B-Instruct - W8A8_FP8 Compression

This is a compressed model using [llmcompressor](https://github.com/vllm-project/llm-compressor).

## Compression Configuration

- Base Model: meta-llama/Meta-Llama-3-70B-Instruct
- Compression Scheme: W8A8_FP8
- Dataset: HuggingFaceH4/ultrachat_200k
- Dataset Split: train_sft
- Number of Samples: 512
- Preprocessor: chat
- Maximum Sequence Length: 8192

## Sample Output

#### Prompt: 

```
Could not generate output
```

#### Output: 

```
CUDA error: unknown error
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.

```

## Evaluation

<TODO>