Qwen3 Coder Next Uncensored Heretic — Hardware Requirements & GPU Compatibility
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Qwen3 Coder Next Uncensored Heretic is a 79.7B-parameter open language model from llmfan46 in the Qwen 3 family. It supports a context window of up to 262,144 tokens. At Q4_K_M it needs about 48.21 GB of VRAM — see which GPUs and Macs can run it below.
284 downloadsSpecifications
- Publisher
- llmfan46
- Family
- Qwen 3
- Parameters
- 79.7B
- Architecture
- Qwen3NextForCausalLM
- Context Length
- 262,144 tokens
- Vocabulary Size
- 151,936
- Release Date
- 2026-08-30
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does Qwen3 Coder Next Uncensored Heretic Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_K | 3.40 | 34.3 GB | 47.0 GB | 33.86 GB | 2-bit quantization with K-quant improvements |
| Q3_K_S | 3.50 | 35.3 GB | 48.0 GB | 34.86 GB | 3-bit small quantization |
| Q3_K_M | 3.90 | 39.2 GB | 52.0 GB | 38.84 GB | 3-bit medium quantization |
| Q4_0 | 4.00 | 40.2 GB | 53.0 GB | 39.84 GB | 4-bit legacy quantization |
| Q4_K_M | 4.80 | 48.2 GB | 61.0 GB | 47.80 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 57.2 GB | 70.0 GB | 56.77 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 66.1 GB | 78.9 GB | 65.73 GB | 6-bit quantization, very good quality |
| Q8_0est. | 8.00 | 80.1 GB | 92.9 GB | 79.67 GB | 8-bit quantization, near-lossless |
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 Coder Next Uncensored Heretic?
Q4_K_M · 48.2 GBQwen3 Coder Next Uncensored Heretic (Q4_K_M) requires 48.2 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 63+ GB is recommended. Using the full 262K context window can add up to 12.8 GB, bringing total usage to 61.0 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run Qwen3 Coder Next Uncensored Heretic?
Q4_K_M · 48.2 GB22 devices with unified memory can run Qwen3 Coder Next Uncensored Heretic, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Studio (M3 Ultra, 96GB).
Runs great
— Plenty of headroom
Where to Download Qwen3 Coder Next Uncensored Heretic
Community quantizations of this model — GGUF for llama.cpp, Ollama, and LM Studio, plus AWQ/MLX variants where available.
Related Models
Frequently Asked Questions
- How much VRAM does Qwen3 Coder Next Uncensored Heretic need?
Qwen3 Coder Next Uncensored Heretic requires 48.2 GB of VRAM at Q4_K_M, or 159.8 GB at BF16. Full 262K context adds up to 12.8 GB (61.0 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 79.7B × 4.8 bits ÷ 8 = 47.8 GB
KV Cache + Overhead ≈ 0.4 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 13.2 GB (at full 262K context)
VRAM usage by quantization
Q4_K_M48.2 GBQ4_K_M + full context61.0 GB- Can NVIDIA GeForce RTX 4090 run Qwen3 Coder Next Uncensored Heretic?
Yes, at IQ2_XXS (22.3 GB) or lower. Higher quantizations like IQ2_XS (24.3 GB) exceed the NVIDIA GeForce RTX 4090's 24 GB.
- What's the best quantization for Qwen3 Coder Next Uncensored Heretic?
For Qwen3 Coder Next Uncensored Heretic, Q4_K_M (48.2 GB) offers the best balance of quality and VRAM usage. Q5_K_S (55.2 GB) provides better quality if you have the VRAM. The smallest option is IQ2_XXS at 22.3 GB.
VRAM requirement by quantization
IQ2_XXS22.3 GBIQ3_XS33.3 GBQ3_K_M39.2 GBQ4_K_M ★48.2 GBQ5_K_S55.2 GBBF16159.8 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run Qwen3 Coder Next Uncensored Heretic on a Mac?
Qwen3 Coder Next Uncensored Heretic requires at least 22.3 GB at IQ2_XXS, 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 Coder Next Uncensored Heretic locally?
Yes — Qwen3 Coder Next Uncensored Heretic can run locally on consumer hardware. At Q4_K_M quantization it needs 48.2 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Qwen3 Coder Next Uncensored Heretic?
At Q4_K_M, Qwen3 Coder Next Uncensored Heretic can reach ~100 tok/s on AMD Instinct MI350X. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: NVIDIA B200 → 8000 ÷ 48.2 × 0.65 = ~108 tok/s
Estimated speed at Q4_K_M (48.2 GB)
~108 tok/s~108 tok/s~100 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Qwen3 Coder Next Uncensored Heretic?
At Q4_K_M, the download is about 47.80 GB. The full-precision BF16 version is 159.35 GB. The smallest option (IQ2_XXS) is 21.91 GB.
- Which GPUs can run Qwen3 Coder Next Uncensored Heretic?
No single consumer GPU has enough VRAM to run Qwen3 Coder Next Uncensored Heretic at Q4_K_M (48.2 GB). Multi-GPU or professional hardware is required.
- Which devices can run Qwen3 Coder Next Uncensored Heretic?
23 devices with unified memory can run Qwen3 Coder Next Uncensored Heretic at Q4_K_M (48.2 GB), including ASUS Ascent GX10, Asus ROG Flow Z13 (2025, Ryzen AI Max+ 395, 128 GB), Beelink GTR9 Pro (Ryzen AI Max+ 395, 128 GB), Framework Desktop (Ryzen AI Max+ 395, 128 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.