DeepSeek R1 Distill Qwen 1.5B vs Josiefied Qwen3.5 0.8B Gabliterated V1

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

DeepSeek R1 Distill Qwen 1.5B

DeepSeek · 1.8B

ChatReasoning
Josiefied Qwen3.5 0.8B Gabliterated V1

Goekdeniz-Guelmez · 853M

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Specifications

DeepSeek R1 Distill Qwen 1.5BJosiefied Qwen3.5 0.8B Gabliterated V1
Parameters1.8B853M
Context131K262K
ArchitectureQwen2ForCausalLMQwen3_5ForConditionalGeneration
LicenseMIT
Downloads788.2K619
ReleasedFeb 2025Mar 2026

VRAM by Quantization: DeepSeek R1 Distill Qwen 1.5B vs Josiefied Qwen3.5 0.8B Gabliterated V1

QuantizationBitsDeepSeek R1 Distill Qwen 1.5B VRAMJosiefied Qwen3.5 0.8B Gabliterated V1 VRAM
Q2_K3.401.1 GB0.7 GB
Q3_K_M3.901.2 GB0.8 GB
Q3_K_S3.500.7 GB
Q4_K_M4.801.4 GB0.9 GB
Q5_K_M5.701.6 GB1.0 GB
Q6_K6.601.8 GB1.1 GB
Q8_08.002.1 GB1.2 GB

Verdict

Josiefied Qwen3.5 0.8B Gabliterated V1 needs less VRAM at Q4_K_M (0.9 GB vs 1.4 GB), so it fits on smaller GPUs. Josiefied Qwen3.5 0.8B Gabliterated V1 supports a longer context window (262K tokens). DeepSeek R1 Distill Qwen 1.5B is the more widely downloaded of the two.

Frequently Asked Questions

Which needs less VRAM, DeepSeek R1 Distill Qwen 1.5B or Josiefied Qwen3.5 0.8B Gabliterated V1?

At Q4_K_M, DeepSeek R1 Distill Qwen 1.5B needs 1.4 GB and Josiefied Qwen3.5 0.8B Gabliterated V1 needs 0.9 GB, so Josiefied Qwen3.5 0.8B Gabliterated V1 is the lighter option to run locally.

Which has a longer context window, DeepSeek R1 Distill Qwen 1.5B or Josiefied Qwen3.5 0.8B Gabliterated V1?

DeepSeek R1 Distill Qwen 1.5B supports 131,072 tokens and Josiefied Qwen3.5 0.8B Gabliterated V1 supports 262,144 tokens.

What is the difference between DeepSeek R1 Distill Qwen 1.5B and Josiefied Qwen3.5 0.8B Gabliterated V1?

DeepSeek R1 Distill Qwen 1.5B is a 1.8B model from DeepSeek (Qwen family), while Josiefied Qwen3.5 0.8B Gabliterated V1 is a 853M model from Goekdeniz-Guelmez (Qwen family). Compare their VRAM requirements above to see which fits your GPU or Mac.