GrepSeek Qwen3.5 9B GRPO vs DeepSeek R1 Distill Qwen 14B Abliterated v2

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

GrepSeek Qwen3.5 9B GRPO

alireza7 · 9.4B

ChatFunctions
DeepSeek R1 Distill Qwen 14B Abliterated v2

huihui-ai · 14.8B

ChatReasoning

Specifications

GrepSeek Qwen3.5 9B GRPODeepSeek R1 Distill Qwen 14B Abliterated v2
Parameters9.4B14.8B
Context262K131K
ArchitectureQwen3_5ForConditionalGenerationQwen2ForCausalLM
LicenseApache 2.0
Downloads474361
ReleasedMay 2026Jul 2025

VRAM by Quantization: GrepSeek Qwen3.5 9B GRPO vs DeepSeek R1 Distill Qwen 14B Abliterated v2

QuantizationBitsGrepSeek Qwen3.5 9B GRPO VRAMDeepSeek R1 Distill Qwen 14B Abliterated v2 VRAM
Q2_K3.407.0 GB
Q3_K_M3.907.9 GB
Q3_K_S3.507.2 GB
Q4_04.008.1 GB
Q4_K_M4.806.2 GB9.6 GB
Q5_K_M5.707.3 GB11.2 GB
Q6_K6.608.3 GB12.9 GB
Q8_08.0010.0 GB15.5 GB

Verdict

GrepSeek Qwen3.5 9B GRPO needs less VRAM at Q4_K_M (6.2 GB vs 9.6 GB), so it fits on smaller GPUs. GrepSeek Qwen3.5 9B GRPO supports a longer context window (262K tokens). GrepSeek Qwen3.5 9B GRPO is the more widely downloaded of the two.

Frequently Asked Questions

Which needs less VRAM, GrepSeek Qwen3.5 9B GRPO or DeepSeek R1 Distill Qwen 14B Abliterated v2?

At Q4_K_M, GrepSeek Qwen3.5 9B GRPO needs 6.2 GB and DeepSeek R1 Distill Qwen 14B Abliterated v2 needs 9.6 GB, so GrepSeek Qwen3.5 9B GRPO is the lighter option to run locally.

Which has a longer context window, GrepSeek Qwen3.5 9B GRPO or DeepSeek R1 Distill Qwen 14B Abliterated v2?

GrepSeek Qwen3.5 9B GRPO supports 262,144 tokens and DeepSeek R1 Distill Qwen 14B Abliterated v2 supports 131,072 tokens.

What is the difference between GrepSeek Qwen3.5 9B GRPO and DeepSeek R1 Distill Qwen 14B Abliterated v2?

GrepSeek Qwen3.5 9B GRPO is a 9.4B model from alireza7 (Qwen family), while DeepSeek R1 Distill Qwen 14B Abliterated v2 is a 14.8B model from huihui-ai (Qwen family). Compare their VRAM requirements above to see which fits your GPU or Mac.