Qwen3.6 40B Claude 4.6 Opus Deckard Heretic Uncensored Thinking — Hardware Requirements & GPU Compatibility
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Qwen3.6 40B Claude 4.6 Opus Deckard Heretic Uncensored Thinking is a 39.5B-parameter open language model from DavidAU in the Qwen 3.6 family. It supports a context window of up to 262,144 tokens. At BF16 it needs about 80.04 GB of VRAM — see which GPUs and Macs can run it below.
42.3K downloads
76 likesSpecifications
- Publisher
- DavidAU
- Family
- Qwen 3.6
- Parameters
- 39.5B
- Architecture
- Qwen3_5ForConditionalGeneration
- Context Length
- 262,144 tokens
- Vocabulary Size
- 248,320
- Release Date
- 2026-04-29
- License
- Apache 2.0
Get Started
How Much VRAM Does Qwen3.6 40B Claude 4.6 Opus Deckard Heretic Uncensored Thinking Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16est. | 16.00 | 80.0 GB | 165.3 GB | 79.07 GB | Brain floating point 16 — preferred for training |
est.= calculated VRAM estimate; no published GGUF file found for that quantization yet. Other rows are verified against real community uploads.
Which GPUs Can Run Qwen3.6 40B Claude 4.6 Opus Deckard Heretic Uncensored Thinking?
BF16 · 80.0 GBQwen3.6 40B Claude 4.6 Opus Deckard Heretic Uncensored Thinking (BF16) requires 80.0 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 105+ GB is recommended. Using the full 262K context window can add up to 85.2 GB, bringing total usage to 165.3 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run Qwen3.6 40B Claude 4.6 Opus Deckard Heretic Uncensored Thinking?
BF16 · 80.0 GB5 devices with unified memory can run Qwen3.6 40B Claude 4.6 Opus Deckard Heretic Uncensored Thinking, including NVIDIA DGX H100, NVIDIA DGX A100 640GB.
Where to Download Qwen3.6 40B Claude 4.6 Opus Deckard Heretic Uncensored Thinking
Community quantizations of this model — GGUF for llama.cpp, Ollama, and LM Studio, plus AWQ/MLX variants where available.
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Frequently Asked Questions
- How much VRAM does Qwen3.6 40B Claude 4.6 Opus Deckard Heretic Uncensored Thinking need?
Qwen3.6 40B Claude 4.6 Opus Deckard Heretic Uncensored Thinking requires 80.0 GB of VRAM at BF16. Full 262K context adds up to 85.2 GB (165.3 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 39.5B × 16 bits ÷ 8 = 79.1 GB
KV Cache + Overhead ≈ 0.9 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 86.2 GB (at full 262K context)
VRAM usage by quantization
BF1680.0 GBBF16 + full context165.3 GB- Can NVIDIA GeForce RTX 5090 run Qwen3.6 40B Claude 4.6 Opus Deckard Heretic Uncensored Thinking?
No — Qwen3.6 40B Claude 4.6 Opus Deckard Heretic Uncensored Thinking requires at least 80.0 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run Qwen3.6 40B Claude 4.6 Opus Deckard Heretic Uncensored Thinking on a Mac?
Qwen3.6 40B Claude 4.6 Opus Deckard Heretic Uncensored Thinking requires at least 80.0 GB at BF16, which exceeds the unified memory of most consumer Macs. You would need a Mac Studio or Mac Pro with a high-memory configuration.
- Can I run Qwen3.6 40B Claude 4.6 Opus Deckard Heretic Uncensored Thinking locally?
Yes — Qwen3.6 40B Claude 4.6 Opus Deckard Heretic Uncensored Thinking can run locally on consumer hardware. At BF16 quantization it needs 80.0 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Qwen3.6 40B Claude 4.6 Opus Deckard Heretic Uncensored Thinking?
At BF16, Qwen3.6 40B Claude 4.6 Opus Deckard Heretic Uncensored Thinking can reach ~36 tok/s on AMD Instinct MI300X. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: AMD Instinct MI300X → 5300 ÷ 80.0 × 0.55 = ~36 tok/s
Estimated speed at BF16 (80.0 GB)
~36 tok/s~23 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Qwen3.6 40B Claude 4.6 Opus Deckard Heretic Uncensored Thinking?
At BF16, the download is about 79.07 GB.
- Which GPUs can run Qwen3.6 40B Claude 4.6 Opus Deckard Heretic Uncensored Thinking?
No single consumer GPU has enough VRAM to run Qwen3.6 40B Claude 4.6 Opus Deckard Heretic Uncensored Thinking at BF16 (80.0 GB). Multi-GPU or professional hardware is required.
- Which devices can run Qwen3.6 40B Claude 4.6 Opus Deckard Heretic Uncensored Thinking?
5 devices with unified memory can run Qwen3.6 40B Claude 4.6 Opus Deckard Heretic Uncensored Thinking at BF16 (80.0 GB), including Mac Pro M2 Ultra (192 GB), Mac Studio M2 Ultra (192 GB), Mac Studio M4 Max (128 GB), NVIDIA DGX A100 640GB. Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.