Qwen2 57B A14B Instruct vs Tiny Qwen2ForCausalLM 2.5

Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.

Qwen2 57B A14B Instruct

Alibaba · 57.4B

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Tiny Qwen2ForCausalLM 2.5

trl-internal-testing · 2M

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Specifications

Qwen2 57B A14B InstructTiny Qwen2ForCausalLM 2.5
Parameters57.4B2M
Context33K33K
ArchitectureQwen2MoeForCausalLMQwen2ForCausalLM
LicenseApache 2.0
Downloads16.0K5.5M
ReleasedAug 2024Dec 2025

VRAM by Quantization: Qwen2 57B A14B Instruct vs Tiny Qwen2ForCausalLM 2.5

QuantizationBitsQwen2 57B A14B Instruct VRAMTiny Qwen2ForCausalLM 2.5 VRAM
Q2_K3.400.3 GB
Q3_K_M3.900.3 GB
Q3_K_S3.500.3 GB
Q4_04.0029.1 GB0.3 GB
Q4_K_M4.800.3 GB
Q5_K_M5.700.3 GB
Q6_K6.600.3 GB
Q8_08.0057.8 GB0.3 GB

Verdict

Tiny Qwen2ForCausalLM 2.5 needs less VRAM at Q4_0 (0.3 GB vs 29.1 GB), so it fits on smaller GPUs. Tiny Qwen2ForCausalLM 2.5 is the more widely downloaded of the two.

Frequently Asked Questions

Which needs less VRAM, Qwen2 57B A14B Instruct or Tiny Qwen2ForCausalLM 2.5?

At Q4_0, Qwen2 57B A14B Instruct needs 29.1 GB and Tiny Qwen2ForCausalLM 2.5 needs 0.3 GB, so Tiny Qwen2ForCausalLM 2.5 is the lighter option to run locally.

Which has a longer context window, Qwen2 57B A14B Instruct or Tiny Qwen2ForCausalLM 2.5?

Qwen2 57B A14B Instruct supports 32,768 tokens and Tiny Qwen2ForCausalLM 2.5 supports 32,768 tokens.

What is the difference between Qwen2 57B A14B Instruct and Tiny Qwen2ForCausalLM 2.5?

Qwen2 57B A14B Instruct is a 57.4B model from Alibaba (Qwen 2 family), while Tiny Qwen2ForCausalLM 2.5 is a 2M model from trl-internal-testing (Qwen 2 family). Compare their VRAM requirements above to see which fits your GPU or Mac.