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Llama31 70b awq int4 draft llama32 1b

SPD Overview

This SPD defines a dual-model configuration for speculative decoding, where the Target Model ensures high-quality multilingual responses and the Draft Model accelerates inference.

Target Model – Meta-Llama-3.1-70B-Instruct-AWQ-INT4

This repository is a community-driven quantized version of the original model meta-llama/Meta-Llama-3.1-70B-Instruct which is the FP16 half-precision official version released by Meta AI.

The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models in 8B, 70B and 405B sizes (text in/text out). The Llama 3.1 instruction tuned text only models (8B, 70B, 405B) are optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks.

QPC Configurations

Precision SoCs / Tensor slicing NSP-Cores (per SoC) Full Batch Size Chunking Prompt Length Context Length (CL) Generated URL Download
MXFP6 2 8 1 128 4096 https://dc00tk1pxen80.cloudfront.net/SDK1.20.4/hugging-quants/Meta-Llama-3.1-70B-Instruct-AWQ-INT4/qpc_8cores_128pl_4096cl_1fbs_2devices_mxfp6_mxint8.tar.gz Download

Draft Model – Llama 3.2 1B Instruct

The Meta Llama 3.2-1B Instruct is a smaller, instruction-tuned model used here as the Draft Model for speculative decoding. It provides fast draft token generation to reduce latency when paired with the Target 70B model.

QPC Configurations

Precision SoCs / Tensor slicing NSP-Cores (per SoC) Full Batch Size Chunking Prompt Length Context Length (CL) Generated URL Download
MXFP6 2 8 1 128 4096 https://dc00tk1pxen80.cloudfront.net/SDK1.20.4/meta-llama/Llama-3.2-1B-Instruct/qpc_8cores_128pl_4096cl_1fbs_2devices_mxfp6_mxint8.tar.gz Download