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jburtoft/Qwen3-8B
Qwen3-8B is a machine learning model from jburtoft. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This model holds Neuron compiled configurations for Qwen3-8B, originally compiled with SDK 2.25.
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.safetensors32.8 GB · 99%
From the Hugging Face model README
This model holds Neuron compiled configurations for Qwen3-8B, originally compiled with SDK 2.25.
Compiled configurations include:
import os
os.environ['VLLM_NEURON_FRAMEWORK'] = "neuronx-distributed-inference"
from vllm import LLM, SamplingParams
llm = LLM(
model="Qwen/Qwen3-8B",
max_num_seqs=1,
max_model_len=1024,
device="neuron",
tensor_parallel_size=2)
del llm
llm = LLM(
model="Qwen/Qwen3-8B",
max_num_seqs=1,
max_model_len=8192,
device="neuron",
tensor_parallel_size=2)
del llm
llm = LLM(
model="Qwen/Qwen3-8B",
max_num_seqs=8,
max_model_len=1024,
device="neuron",
tensor_parallel_size=2)
del llm
llm = LLM(
model="Qwen/Qwen3-8B",
max_num_seqs=8,
max_model_len=4096,
device="neuron",
tensor_parallel_size=2)
del llm
llm = LLM(
model="Qwen/Qwen3-8B",
max_num_seqs=1,
max_model_len=8192,
device="neuron",
override_neuron_config={
"context_encoding_buckets":[1024, 2048, 4096, 5120, 8000],
"token_generation_buckets":[8192],
},
tensor_parallel_size=2)
del llm