Qwen3 42B A3B 2507 Thinking Abliterated Uncensored TOTAL RECALL v2 Medium MASTER CODER vs CyberSecQwen 4B
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
DavidAU · 42.4B
ChatCodeReasoning
Specifications
| Qwen3 42B A3B 2507 Thinking Abliterated Uncensored TOTAL RECALL v2 Medium MASTER CODER | CyberSecQwen 4B | |
|---|---|---|
| Parameters | 42.4B | 4.0B |
| Context | 262K | 262K |
| Architecture | Qwen3MoeForCausalLM | Qwen3ForCausalLM |
| License | Apache 2.0 | Apache 2.0 |
| Downloads | 1.9K | 1.2K |
| Released | Aug 2025 | May 2026 |
VRAM by Quantization: Qwen3 42B A3B 2507 Thinking Abliterated Uncensored TOTAL RECALL v2 Medium MASTER CODER vs CyberSecQwen 4B
| Quantization | Bits | Qwen3 42B A3B 2507 Thinking Abliterated Uncensored TOTAL RECALL v2 Medium MASTER CODER VRAM | CyberSecQwen 4B VRAM |
|---|---|---|---|
| BF16 | 16.00 | 85.2 GB | 8.5 GB |
Verdict
CyberSecQwen 4B needs less VRAM at BF16 (8.5 GB vs 85.2 GB), so it fits on smaller GPUs. Qwen3 42B A3B 2507 Thinking Abliterated Uncensored TOTAL RECALL v2 Medium MASTER CODER is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, Qwen3 42B A3B 2507 Thinking Abliterated Uncensored TOTAL RECALL v2 Medium MASTER CODER or CyberSecQwen 4B?
At BF16, Qwen3 42B A3B 2507 Thinking Abliterated Uncensored TOTAL RECALL v2 Medium MASTER CODER needs 85.2 GB and CyberSecQwen 4B needs 8.5 GB, so CyberSecQwen 4B is the lighter option to run locally.
- Which has a longer context window, Qwen3 42B A3B 2507 Thinking Abliterated Uncensored TOTAL RECALL v2 Medium MASTER CODER or CyberSecQwen 4B?
Qwen3 42B A3B 2507 Thinking Abliterated Uncensored TOTAL RECALL v2 Medium MASTER CODER supports 262,144 tokens and CyberSecQwen 4B supports 262,144 tokens.
- What is the difference between Qwen3 42B A3B 2507 Thinking Abliterated Uncensored TOTAL RECALL v2 Medium MASTER CODER and CyberSecQwen 4B?
Qwen3 42B A3B 2507 Thinking Abliterated Uncensored TOTAL RECALL v2 Medium MASTER CODER is a 42.4B model from DavidAU (Qwen family), while CyberSecQwen 4B is a 4.0B model from lablab-ai-amd-developer-hackathon (Qwen family). Compare their VRAM requirements above to see which fits your GPU or Mac.