Qwen3-30B-A3B-Instruct-2507.w4a16

720
1
license:apache-2.0
by
RedHatAI
Language Model
OTHER
30B params
New
720 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
68GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
28GB+ RAM

Code Examples

text
lm_eval --model local-chat-completions \
    --tasks mmlu_pro_chat \
    --model_args "model=RedHatAI/Qwen3-30B-A3B-Instruct-2507.w4a16,max_length=262144,base_url=http://0.0.0.0:8000/v1/chat/completions,num_concurrent=64,max_retries=3,tokenized_requests=False,tokenizer_backend=None,timeout=1200" \
    --num_fewshot 0 \
    --apply_chat_template \
    --gen_kwargs "do_sample=True,temperature=0.6,top_p=0.95,top_k=20,min_p=0.0,max_gen_toks=64000
text
lm_eval --model local-chat-completions \
    --tasks ifeval \
    --model_args "model=RedHatAI/Qwen3-30B-A3B-Instruct-2507.w4a16,max_length=262144,base_url=http://0.0.0.0:8000/v1/chat/completions,num_concurrent=64,max_retries=3,tokenized_requests=False,tokenizer_backend=None,timeout=1200" \
    --num_fewshot 0 \
    --apply_chat_template \
    --gen_kwargs "do_sample=True,temperature=0.6,top_p=0.95,top_k=20,min_p=0.0,max_gen_toks=64000
text
lm_eval --model local-chat-completions \
    --tasks mmlu_cot_llama \
    --model_args "model=RedHatAI/Qwen3-30B-A3B-Instruct-2507.w4a16,max_length=262144,base_url=http://0.0.0.0:8000/v1/chat/completions,num_concurrent=64,max_retries=3,tokenized_requests=False,tokenizer_backend=None,timeout=1200" \
    --num_fewshot 0 \
    --apply_chat_template \
    --gen_kwargs "do_sample=True,temperature=0.6,top_p=0.95,top_k=20,min_p=0.0,max_gen_toks=64000
text
lm_eval --model local-chat-completions \
    --tasks gsm8k_platinum_cot_llama \
    --model_args "model=RedHatAI/Qwen3-30B-A3B-Instruct-2507.w4a16,max_length=262144,base_url=http://0.0.0.0:8000/v1/chat/completions,num_concurrent=64,max_retries=3,tokenized_requests=False,tokenizer_backend=None,timeout=1200" \
    --num_fewshot 0 \
    --apply_chat_template \
    --gen_kwargs "do_sample=True,temperature=0.6,top_p=0.95,top_k=20,min_p=0.0,max_gen_toks=64000

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