Qwen2 57B A14B Instruct By Qwen: Benchmarks, Features and Detailed Analysis. Insights on Qwen2 57B A14B Instruct.

Arxiv:2309.00071 Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2-57b-a14b Chat Conversational En Endpoints compatible Instruct Qwen2 moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2-57B-A14B-Instruct

Qwen2 57B A14B Instruct Benchmarks

MMLU Pro: 39.73

GPQA: 10.85

MUSR: 14.18

BBH: 41.79

IFEval: 63.38 vs 88 (so35)^-28%

MATH Lvl 5: 28.17

LLME Score: 0.30394

^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)

Qwen2 57B A14B Instruct (Qwen/Qwen2-57B-A14B-Instruct)

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Qwen2 57B A14B Instruct Parameters and Internals

Model Type

text-generation, multimodal

Use Cases

Areas:

research, commercial applications

Limitations:

performance on shorter texts

Considerations:

Add `rope_scaling` configuration only when processing long contexts is required.

Additional Notes

Presently, vLLM only supports static YARN, potentially impacting performance on shorter texts.

Supported Languages

en (advanced), others (basic)

Training Details

Data Volume:

large amount

Methodology:

supervised finetuning and direct preference optimization

Context Length:

65536

Model Architecture:

Transformer with SwiGLU activation, attention QKV bias, group query attention

Input Output

Input Format:

messages in JSON

Accepted Modalities:

text

Output Format:

tokenized responses

Performance Tips:

Use `apply_chat_template` in code example, add `rope_scaling` only when processing long contexts.

LLM Name	Qwen2 57B A14B Instruct
Repository 🤗	https://huggingface.co/Qwen/Qwen2-57B-A14B-Instruct
Base Model(s)	Qwen2 57B A14B Qwen/Qwen2-57B-A14B
Model Size	57b
Required VRAM	115.2 GB
Updated	2025-10-22
Maintainer	Qwen
Model Type	qwen2_moe
Instruction-Based	Yes
Model Files	4.0 GB: 1-of-29 4.0 GB: 2-of-29 4.0 GB: 3-of-29 4.0 GB: 4-of-29 4.0 GB: 5-of-29 4.0 GB: 6-of-29 4.0 GB: 7-of-29 4.0 GB: 8-of-29 4.0 GB: 9-of-29 4.0 GB: 10-of-29 4.0 GB: 11-of-29 4.0 GB: 12-of-29 4.0 GB: 13-of-29 4.0 GB: 14-of-29 4.0 GB: 15-of-29 4.0 GB: 16-of-29 4.0 GB: 17-of-29 4.0 GB: 18-of-29 4.0 GB: 19-of-29 4.0 GB: 20-of-29 4.0 GB: 21-of-29 4.0 GB: 22-of-29 4.0 GB: 23-of-29 4.0 GB: 24-of-29 4.0 GB: 25-of-29 4.0 GB: 26-of-29 4.0 GB: 27-of-29 4.0 GB: 28-of-29 3.2 GB: 29-of-29
Supported Languages	en
Model Architecture	Qwen2MoeForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.40.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Quantized Models of the Qwen2 57B A14B Instruct

Model	Likes	Downloads	VRAM
...n2 57B A14B Instruct GPTQ Int4	23	39	31 GB
Qwen2 57B A14B Instruct 4bit	2	17	32 GB
Qwen2 57B A14B Instruct 8bit	1	13	61 GB

Best Alternatives to Qwen2 57B A14B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2 57B A14B Instruct 4bit	32K / 32.3 GB	17	2
Qwen2 57B A14B Instruct 8bit	32K / 61.1 GB	13	1
...n2 57B A14B Instruct GPTQ Int4	32K / 31.6 GB	39	23
...7B A14B Instruct GPTQ Int4 MLX	32K / 32.3 GB	47	1

Rank the Qwen2 57B A14B Instruct Capabilities

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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

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Original data from HuggingFace, OpenCompass and various public git repos.

Release v20241124

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