DeepSeek R1 Distill Qwen 7B Uncensored — Hardware Requirements & GPU Compatibility
Reasoning
DeepSeek R1 Distill Qwen 7B Uncensored is a 7.6B-parameter open language model from nicoboss in the DeepSeek R1 family. It supports a context window of up to 131,072 tokens. At Q4_K_M it needs about 4.99 GB of VRAM — see which GPUs and Macs can run it below.
29 likes
10.1K quant downloadsSpecifications
- Publisher
- nicoboss
- Family
- DeepSeek R1
- Parameters
- 7.6B
- Architecture
- Qwen2ForCausalLM
- Context Length
- 131,072 tokens
- Vocabulary Size
- 151,665
- Release Date
- 2025-01-21
- License
- MIT
Get Started
How Much VRAM Does DeepSeek R1 Distill Qwen 7B Uncensored Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_K | 3.40 | 3.6 GB | 11.1 GB | 3.24 GB | 2-bit quantization with K-quant improvements |
| Q3_K_S | 3.50 | 3.8 GB | 11.2 GB | 3.33 GB | 3-bit small quantization |
| Q3_K_M | 3.90 | 4.1 GB | 11.5 GB | 3.71 GB | 3-bit medium quantization |
| Q4_0 | 4.00 | 4.2 GB | 11.6 GB | 3.81 GB | 4-bit legacy quantization |
| Q4_K_M | 4.80 | 5.0 GB | 12.4 GB | 4.57 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 5.8 GB | 13.2 GB | 5.42 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 6.7 GB | 14.1 GB | 6.28 GB | 6-bit quantization, very good quality |
| Q8_0est. | 8.00 | 8.0 GB | 15.4 GB | 7.61 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 DeepSeek R1 Distill Qwen 7B Uncensored?
Q4_K_M · 5.0 GBDeepSeek R1 Distill Qwen 7B Uncensored (Q4_K_M) requires 5.0 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 7+ GB is recommended. Using the full 131K context window can add up to 7.4 GB, bringing total usage to 12.4 GB. 52 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti.
Runs great
— Plenty of headroomWhich Devices Can Run DeepSeek R1 Distill Qwen 7B Uncensored?
Q4_K_M · 5.0 GB59 devices with unified memory can run DeepSeek R1 Distill Qwen 7B Uncensored, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Apple iPhone 17 Pro.
Runs great
— Plenty of headroom
Decent
— Enough memory, may be tightWhere to Download DeepSeek R1 Distill Qwen 7B 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 DeepSeek R1 Distill Qwen 7B Uncensored need?
DeepSeek R1 Distill Qwen 7B Uncensored requires 5.0 GB of VRAM at Q4_K_M, or 15.6 GB at BF16. Full 131K context adds up to 7.4 GB (12.4 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 7.6B × 4.8 bits ÷ 8 = 4.6 GB
KV Cache + Overhead ≈ 0.4 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 7.8 GB (at full 131K context)
VRAM usage by quantization
Q4_K_M5.0 GBQ4_K_M + full context12.4 GB- What's the best quantization for DeepSeek R1 Distill Qwen 7B Uncensored?
For DeepSeek R1 Distill Qwen 7B Uncensored, Q4_K_M (5.0 GB) offers the best balance of quality and VRAM usage. Q5_K_S (5.7 GB) provides better quality if you have the VRAM. The smallest option is IQ2_XXS at 2.5 GB.
VRAM requirement by quantization
IQ2_XXS2.5 GBIQ3_XS3.6 GBQ4_04.2 GBIQ4_NL4.7 GBQ4_K_M ★5.0 GBBF1615.6 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run DeepSeek R1 Distill Qwen 7B Uncensored on a Mac?
DeepSeek R1 Distill Qwen 7B Uncensored requires at least 2.5 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 DeepSeek R1 Distill Qwen 7B Uncensored locally?
Yes — DeepSeek R1 Distill Qwen 7B Uncensored can run locally on consumer hardware. At Q4_K_M quantization it needs 5.0 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is DeepSeek R1 Distill Qwen 7B Uncensored?
At Q4_K_M, DeepSeek R1 Distill Qwen 7B Uncensored can reach ~962 tok/s on AMD Instinct MI350X. On NVIDIA GeForce RTX 4090: ~131 tok/s. 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 ÷ 5.0 × 0.65 = ~1042 tok/s
Estimated speed at Q4_K_M (5.0 GB)
~1042 tok/s~131 tok/s~1042 tok/s~962 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of DeepSeek R1 Distill Qwen 7B Uncensored?
At Q4_K_M, the download is about 4.57 GB. The full-precision BF16 version is 15.23 GB. The smallest option (IQ2_XXS) is 2.09 GB.
- Which GPUs can run DeepSeek R1 Distill Qwen 7B Uncensored?
52 consumer GPUs can run DeepSeek R1 Distill Qwen 7B Uncensored at Q4_K_M (5.0 GB). Top options include AMD Radeon RX 6700 XT, AMD Radeon RX 6800, AMD Radeon RX 6800 XT. 52 GPUs have plenty of headroom for comfortable inference.
- Which devices can run DeepSeek R1 Distill Qwen 7B Uncensored?
59 devices with unified memory can run DeepSeek R1 Distill Qwen 7B Uncensored at Q4_K_M (5.0 GB), including AMD Ryzen AI 9 HX 370 (Strix Point) Laptop, ASUS Ascent GX10, Apple iPhone 17 Pro, Asus ROG Flow Z13 (2025, 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.