What are the hardware requirements for Qwen1.5 7B Chat AWQ G128 Int4 Asym Bf16 Onnx Ryzen Strix?

Qwen1.5 7B Chat AWQ G128 Int4 Asym Bf16 Onnx Ryzen Strix requires a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

How does Qwen1.5 7B Chat AWQ G128 Int4 Asym Bf16 Onnx Ryzen Strix perform on standard benchmarks?

Qwen1.5 7B Chat AWQ G128 Int4 Asym Bf16 Onnx Ryzen Strix has the following published scores: MMLU 61.7, LMSYS ELO 1143. Compare against reference models on this page or on the LLM Explorer leaderboards.

Qwen1.5 7B Chat AWQ G128 Int4 Asym Bf16 Onnx Ryzen Strix by amd — 32K context

Name: Qwen1.5 7B Chat AWQ G128 Int4 Asym Bf16 Onnx Ryzen Strix
Author: amd

Qwen1.5 7B Chat AWQ G128 Int4 Asym Bf16 Onnx Ryzen Strix is an open-source language model by amd. Features: 7b LLM, Context: 32K, License: mit, Quantized, ELO: 1143, Arc: 55.9, HellaSwag: 78.6, MMLU: 61.7, GSM8K: 13.2.

Awq Base model:quantized:qwen/qwen... Base model:qwen/qwen1.5-7b-cha... Chat Conversational En Onnx Quantized Qwen2 Region:us

Model Card on HF 🤗: https://huggingface.co/amd/Qwen1.5-7B-Chat-awq-g128-int4-asym-bf16-onnx-ryzen-strix

Qwen1.5 7B Chat AWQ G128 Int4 Asym Bf16 Onnx Ryzen Strix Benchmarks

LMSys ELO 1143 vs 1272 (so35) -10.1%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Qwen1.5 7B Chat AWQ G128 Int4 Asym Bf16 Onnx Ryzen Strix Parameters and Internals

LLM Name	Qwen1.5 7B Chat AWQ G128 Int4 Asym Bf16 Onnx Ryzen Strix
Repository 🤗	https://huggingface.co/amd/Qwen1.5-7B-Chat-awq-g128-int4-asym-bf16-onnx-ryzen-strix
Base Model(s)	Qwen/Qwen1.5-7B-Chat Qwen/Qwen1.5-7B-Chat
Model Size	7b
Updated	2026-08-09
Maintainer	amd
Model Type	qwen2
Supported Languages	en
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	Qwen2ForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	4.37.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen1.5 7B Chat AWQ G128 Int4 Asym Bf16 Onnx Ryzen Strix capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Qwen1.5 7B Chat AWQ G128 Int4 Asym Bf16 Onnx Ryzen Strix

Best Alternatives	Context / RAM	Downloads	Likes
Samantha Qwen2 7B AWQ	128K / 5.6 GB	10	0
Dolphin 2.9.2 Qwen2 7B AWQ	128K / 5.6 GB	31	0
Arcee Maestro 7B Preview AWQ	128K / 5.6 GB	12	1
CodeQwen1.5 7B Chat AWQ	64K / 5.3 GB	26	14
CodeQwen1.5 7B AWQ	64K / 5.3 GB	65	2
Qwen2.5 7B Instruct AWQ	32K / 5.6 GB	4511676	48
Qwen2.5 Coder 7B Instruct AWQ	32K / 5.6 GB	316581	24
Qwen2 7B Instruct AWQ	32K / 5.6 GB	20200	23
Qwen1.5 7B Chat AWQ	32K / 5.9 GB	260	13
Qwen1.5 7B AWQ W4 G128	32K / 5.9 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than amd/Qwen1.5-7B-Chat-awq-g128-int4-asym-bf16-onnx-ryzen-strix.