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

This is a compressed model using llmcompressor.

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

Downloads last month
7
Safetensors
Model size
70.6B params
Tensor type
BF16
·
F8_E4M3
·
Inference Providers NEW
This model is not currently available via any of the supported third-party Inference Providers, and the model is not deployed on the HF Inference API.

Model tree for espressor/meta-llama.Meta-Llama-3-70B-Instruct_W8A8_FP8

Quantized
(47)
this model

Dataset used to train espressor/meta-llama.Meta-Llama-3-70B-Instruct_W8A8_FP8