RVN Qwen3.8 Flash Next Abliterated Uncensored — Hardware Requirements & GPU Compatibility
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RVN Qwen3.8 Flash Next Abliterated Uncensored is a 176.9B-parameter open language model from 0bserverx in the Qwen 3.8 family. It supports a context window of up to 262,144 tokens. At Q4_K_M it needs about 106.55 GB of VRAM — see which GPUs and Macs can run it below.
559 downloads
9 likesSpecifications
- Publisher
- 0bserverx
- Family
- Qwen 3.8
- Parameters
- 176.9B
- Architecture
- Qwen4ExpForCausalLM
- Context Length
- 262,144 tokens
- Vocabulary Size
- 248,320
- Release Date
- 2026-08-31
- License
- Other
Get Started
How Much VRAM Does RVN Qwen3.8 Flash Next Abliterated Uncensored Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_K | 3.40 | 75.6 GB | 86.2 GB | 75.20 GB | 2-bit quantization with K-quant improvements |
| Q3_K_S | 3.50 | 77.8 GB | 88.5 GB | 77.41 GB | 3-bit small quantization |
| Q3_K_M | 3.90 | 86.6 GB | 97.3 GB | 86.26 GB | 3-bit medium quantization |
| Q4_0 | 4.00 | 88.9 GB | 99.5 GB | 88.47 GB | 4-bit legacy quantization |
| Q4_K_M | 4.80 | 106.5 GB | 117.2 GB | 106.17 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 126.5 GB | 137.1 GB | 126.07 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 146.4 GB | 157.0 GB | 145.98 GB | 6-bit quantization, very good quality |
| Q8_0est. | 8.00 | 177.3 GB | 188.0 GB | 176.94 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 RVN Qwen3.8 Flash Next Abliterated Uncensored?
Q4_K_M · 106.5 GBRVN Qwen3.8 Flash Next Abliterated Uncensored (Q4_K_M) requires 106.5 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 139+ GB is recommended. Using the full 262K context window can add up to 10.7 GB, bringing total usage to 117.2 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run RVN Qwen3.8 Flash Next Abliterated Uncensored?
Q4_K_M · 106.5 GB11 devices with unified memory can run RVN Qwen3.8 Flash Next Abliterated Uncensored, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, MacBook Pro 16" M5 Max (128 GB).
Runs great
— Plenty of headroom
Where to Download RVN Qwen3.8 Flash Next Abliterated Uncensored
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 RVN Qwen3.8 Flash Next Abliterated Uncensored need?
RVN Qwen3.8 Flash Next Abliterated Uncensored requires 106.5 GB of VRAM at Q4_K_M, or 354.3 GB at BF16. Full 262K context adds up to 10.7 GB (117.2 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 176.9B × 4.8 bits ÷ 8 = 106.2 GB
KV Cache + Overhead ≈ 0.3 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 11 GB (at full 262K context)
VRAM usage by quantization
Q4_K_M106.5 GBQ4_K_M + full context117.2 GB- Can NVIDIA GeForce RTX 5090 run RVN Qwen3.8 Flash Next Abliterated Uncensored?
No — RVN Qwen3.8 Flash Next Abliterated Uncensored requires at least 73.4 GB at IQ3_XS, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- What's the best quantization for RVN Qwen3.8 Flash Next Abliterated Uncensored?
For RVN Qwen3.8 Flash Next Abliterated Uncensored, Q4_K_M (106.5 GB) offers the best balance of quality and VRAM usage. Q5_0 (111.0 GB) provides better quality if you have the VRAM. The smallest option is IQ3_XS at 73.4 GB.
VRAM requirement by quantization
IQ3_XS73.4 GBQ3_K_M86.6 GBQ4_199.9 GBQ4_K_M ★106.5 GBQ5_1122.0 GBBF16354.3 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run RVN Qwen3.8 Flash Next Abliterated Uncensored on a Mac?
RVN Qwen3.8 Flash Next Abliterated Uncensored requires at least 73.4 GB at IQ3_XS, 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 RVN Qwen3.8 Flash Next Abliterated Uncensored locally?
Yes — RVN Qwen3.8 Flash Next Abliterated Uncensored can run locally on consumer hardware. At Q4_K_M quantization it needs 106.5 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is RVN Qwen3.8 Flash Next Abliterated Uncensored?
At Q4_K_M, RVN Qwen3.8 Flash Next Abliterated Uncensored can reach ~45 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 ÷ 106.5 × 0.65 = ~49 tok/s
Estimated speed at Q4_K_M (106.5 GB)
~49 tok/s~49 tok/s~45 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of RVN Qwen3.8 Flash Next Abliterated Uncensored?
At Q4_K_M, the download is about 106.17 GB. The full-precision BF16 version is 353.89 GB. The smallest option (IQ3_XS) is 72.99 GB.
- Which GPUs can run RVN Qwen3.8 Flash Next Abliterated Uncensored?
No single consumer GPU has enough VRAM to run RVN Qwen3.8 Flash Next Abliterated Uncensored at Q4_K_M (106.5 GB). Multi-GPU or professional hardware is required.
- Which devices can run RVN Qwen3.8 Flash Next Abliterated Uncensored?
18 devices with unified memory can run RVN Qwen3.8 Flash Next Abliterated Uncensored at Q4_K_M (106.5 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.