Qwen3 Coder Next Uncensored Heretic — Hardware Requirements & GPU Compatibility
ChatCode
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.
Decent on a 24 GB GPU
Runs on 24 GB (IQ2_XXS · ~29 tok/s · 128K)Macs from 32 GB (IQ2_M · ~10 tok/s)
Apache 2.0
Reference GPU · RTX 4090 24 GB
Estimates, ±20% · how we estimate
Run Qwen3 Coder Next Uncensored Heretic
One recommended way. Every other method, OS and quant is in the step-by-step guide.Each way opens a step-by-step guide for your OS and quant.
Recommended
ollama run hf.co/mradermacher/Qwen3-Coder-Next-Uncensored-Heretic-i1-GGUF:Q4_K_MQ4_K_M · needs ~48.3 GB · 16K context
Download: Qwen3-Coder-Next-Uncensored-Heretic.i1-Q4_K_M.gguf48.49 GBmradermacher
Ways to runOther ways
each opens step-by-stepRun in cloud
Runs on A100 80GB (31 GB headroom) · Q4_K_M
- Generation speed
- ~28 tok/s
- generation speed
- Cost per 1M output tokens
- $11.47
- per 1M output tokens
How Much VRAM Does Qwen3 Coder Next Uncensored Heretic Need?
Select a quantization level; the listed hardware adheres to it.
| Quantization | VRAM | +32K | On RTX 4090 (reference) | |
|---|---|---|---|---|
| 34.3 GB | 34.6 GB | 2-bit · K-quant — 2-bit quantization with K-quant improvements | Does not fit: needs 34.4 GB | |
| 35.3 GB | 35.6 GB | 3-bit small — 3-bit small quantization | Does not fit: needs 35.4 GB | |
| 39.2 GB | 39.5 GB | 3-bit medium — 3-bit medium quantization | Does not fit: needs 39.3 GB | |
| 40.2 GB | 40.5 GB | 4-bit · legacy — 4-bit legacy quantization | Does not fit: needs 40.3 GB | |
| 48.2 GB | 48.5 GB | 4-bit medium — 4-bit medium quantization — most popular sweet spot | Does not fit: needs 48.3 GB | |
| 57.2 GB | 57.5 GB | 5-bit medium — 5-bit medium quantization — good quality/size tradeoff | Does not fit: needs 57.3 GB | |
| 66.1 GB | 66.4 GB | 6-bit, very good — 6-bit quantization, very good quality | Does not fit: needs 66.2 GB | |
| 80.1 GB | 80.4 GB | 8-bit, near-lossless — 8-bit quantization, near-lossless | Does not fit: needs 80.2 GB |
Selected Q4_K_M
4-bit medium quantization48.3GBat 16K context
- Weights
- 47.8 GB
- KV cache
- 0.2 GB
- Overhead
- 0.3 GB
Doesn't fit RTX 4090 (reference) · needs 24.3 GB more, IQ2_XXS fits
Or .
Which Hardware 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 3.1 GB, bringing total usage to 51.3 GB. No consumer GPU has enough memory. 52 devices with unified memory can run Qwen3 Coder Next Uncensored Heretic, including Mac Studio (M3 Ultra, 256GB), Mac Studio (M3 Ultra, 512GB), Mac Pro M2 Ultra (64 GB).
≤ 20 GB
≤ 20 GB tier →doesn't fit · smallest quant needs 22.4 GB
32–40 GB
Q4_K_M · best fit IQ3_XXS (31.4 GB)
1 GPU · 2 Mac classes · 1 device family
RTX 5090~37Simulate output on RTX 5090M5 Max36 GB~10Simulate output on Mac Studio M5 Max (36 GB)M3 Pro*36 GB~3Simulate output on MacBook Pro 14" M3 Pro (36 GB)Orin~4Simulate output on NVIDIA Jetson AGX Orin 32GB64–80 GB
fits · 15.7 GB free · up to 256K ctx
3 Mac classes · 1 device family
M2 Ultra*64 GB~12Simulate output on Mac Pro M2 Ultra (64 GB)M5 Max64 GB~9Simulate output on Mac Studio M5 Max (64 GB)Orin~3Simulate output on NVIDIA Jetson AGX Orin 64GB
By VRAM tier · typical GPUs and Macs at Q4_K_M
Alternatives to Qwen3 Coder Next Uncensored Heretic
Qwen 3 family · 79 models →Similar models
5| Model | Score | VRAM | tok/s | Why it is similar |
|---|---|---|---|---|
| NVIDIA Nemotron 3.5 Bolt 74B A9B BF16NVIDIA | — | 54.2 GB | —needs > 24 GB | same size |
| Kolibri 1 BF16Aleph-Alpha | — | 22.5 GB | ~237 | same size |
| AliceAI Foundation 80B A3B Baseyandex | — | 49.9 GB | —needs > 24 GB | same size |
| Hunyuan A13B InstructTencent | — | 50.7 GB | —needs > 24 GB | same size |
| Kolibri 1Aleph-Alpha | — | 47.9 GB | —needs > 24 GB | same size |
Specifications
- 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
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 3.1 GB (51.3 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)
Fit ratings and hardware model lists check this model with room for a 16K-token context, which needs a little more memory.
KV Cache + Overhead ≈ 3.5 GB (at full 262K context)
VRAM usage by quantization
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
★ Recommended — best balance of quality and VRAM usage.
Can I run Qwen3 Coder Next Uncensored Heretic on a Mac?
Yes — Mac Studio M1 Max (32 GB) and 84 other Macs can run Qwen3 Coder Next Uncensored Heretic, the smallest at IQ2_M. Apple Silicon uses unified memory, so the model shares RAM with the system. At Q4_K_M you need at least 48.2 GB of usable unified memory (RAM minus macOS overhead), from Mac Pro M2 Ultra (64 GB).
Can I run Qwen3 Coder Next Uncensored Heretic locally?
Yes — Qwen3 Coder Next Uncensored Heretic can run locally on consumer hardware. 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)
Real-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?
52 devices with unified memory can run Qwen3 Coder Next Uncensored Heretic at Q4_K_M (48.2 GB), including ASUS Ascent GX10, Beelink GTR9 Pro (Ryzen AI Max+ 395, 128 GB), Framework Desktop (Ryzen AI Max+ 395, 128 GB), GMKtec EVO-X2 (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.