Qwen3.5 35B A3B Heretic Opus 4.6 Distilled GGUF — Hardware Requirements & GPU Compatibility
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Qwen3.5 35B A3B Heretic Opus 4.6 Distilled GGUF is a 35B-parameter open language model from Jongsim in the Qwen family. At Q5_K_M it needs about 27.43 GB of VRAM — see which GPUs and Macs can run it below.
199 downloads
2 likesSpecifications
- Publisher
- Jongsim
- Family
- Qwen
- Parameters
- 35B
- Release Date
- 2026-03-14
- License
- Apache 2.0
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How Much VRAM Does Qwen3.5 35B A3B Heretic Opus 4.6 Distilled GGUF Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q5_K_M | 5.70 | 27.4 GB | — | 24.94 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 31.8 GB | — | 28.88 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 38.5 GB | — | 35.00 GB | 8-bit quantization, near-lossless |
Which GPUs Can Run Qwen3.5 35B A3B Heretic Opus 4.6 Distilled GGUF?
Q5_K_M · 27.4 GBQwen3.5 35B A3B Heretic Opus 4.6 Distilled GGUF (Q5_K_M) requires 27.4 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 36+ GB is recommended. 1 GPU can run it, including NVIDIA GeForce RTX 5090.
All compatible consumer-level GPUs are running near their VRAM limit. You may also want to consider professional GPUs (e.g., NVIDIA A100, H100) which offer significantly more VRAM. For more headroom and better throughput, consider a multi-GPU configuration with tensor parallelism (supported by tools like vLLM, llama.cpp, or text-generation-inference).
Decent
— Enough VRAM, may be tightWhich Devices Can Run Qwen3.5 35B A3B Heretic Opus 4.6 Distilled GGUF?
Q5_K_M · 27.4 GB15 devices with unified memory can run Qwen3.5 35B A3B Heretic Opus 4.6 Distilled GGUF, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Studio M4 Max (36 GB).
Runs great
— Plenty of headroomDecent
— Enough memory, may be tightRelated Models
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Frequently Asked Questions
- How much VRAM does Qwen3.5 35B A3B Heretic Opus 4.6 Distilled GGUF need?
Qwen3.5 35B A3B Heretic Opus 4.6 Distilled GGUF requires 27.4 GB of VRAM at Q5_K_M, or 38.5 GB at Q8_0.
VRAM = Weights + KV Cache + Overhead
Weights = 35B × 5.7 bits ÷ 8 = 24.9 GB
KV Cache + Overhead ≈ 2.5 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
Q5_K_M27.4 GB- Can NVIDIA GeForce RTX 5090 run Qwen3.5 35B A3B Heretic Opus 4.6 Distilled GGUF?
Yes, at Q6_K (31.8 GB) or lower. Higher quantizations like Q8_0 (38.5 GB) exceed the NVIDIA GeForce RTX 5090's 32 GB.
- What's the best quantization for Qwen3.5 35B A3B Heretic Opus 4.6 Distilled GGUF?
For Qwen3.5 35B A3B Heretic Opus 4.6 Distilled GGUF, Q6_K (31.8 GB) offers the best balance of quality and VRAM usage. Q8_0 (38.5 GB) provides better quality if you have the VRAM. The smallest option is Q5_K_M at 27.4 GB.
VRAM requirement by quantization
Q5_K_M27.4 GBQ6_K ★31.8 GBQ8_038.5 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run Qwen3.5 35B A3B Heretic Opus 4.6 Distilled GGUF on a Mac?
Qwen3.5 35B A3B Heretic Opus 4.6 Distilled GGUF requires at least 27.4 GB at Q5_K_M, 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 Qwen3.5 35B A3B Heretic Opus 4.6 Distilled GGUF locally?
Yes — Qwen3.5 35B A3B Heretic Opus 4.6 Distilled GGUF can run locally on consumer hardware. At Q5_K_M quantization it needs 27.4 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Qwen3.5 35B A3B Heretic Opus 4.6 Distilled GGUF?
At Q5_K_M, Qwen3.5 35B A3B Heretic Opus 4.6 Distilled GGUF can reach ~106 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 ÷ 27.4 × 0.55 = ~106 tok/s
Estimated speed at Q5_K_M (27.4 GB)
~106 tok/s~79 tok/s~66 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Qwen3.5 35B A3B Heretic Opus 4.6 Distilled GGUF?
At Q5_K_M, the download is about 24.94 GB. The full-precision Q8_0 version is 35.00 GB.
- Which GPUs can run Qwen3.5 35B A3B Heretic Opus 4.6 Distilled GGUF?
1 consumer GPU can run Qwen3.5 35B A3B Heretic Opus 4.6 Distilled GGUF at Q5_K_M (27.4 GB). Top options include NVIDIA GeForce RTX 5090.
- Which devices can run Qwen3.5 35B A3B Heretic Opus 4.6 Distilled GGUF?
15 devices with unified memory can run Qwen3.5 35B A3B Heretic Opus 4.6 Distilled GGUF at Q5_K_M (27.4 GB), including Mac Mini M4 (32 GB), Mac Mini M4 Pro (48 GB), Mac Pro M2 Ultra (192 GB), Mac Studio M2 Ultra (192 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.