SIQ 1 35B — Hardware Requirements & GPU Compatibility
ChatFunctions
SIQ 1 35B is a 34.7B-parameter open language model from AlexWortega. It supports a context window of up to 262,144 tokens. At Q4_K_M it needs about 21.18 GB of VRAM — see which GPUs and Macs can run it below.
5.7K downloads
96 likesSpecifications
- Publisher
- AlexWortega
- Parameters
- 34.7B
- Architecture
- Qwen3_5MoeForCausalLM
- Context Length
- 262,144 tokens
- Vocabulary Size
- 248,320
- Release Date
- 2026-06-14
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does SIQ 1 35B Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_Kest. | 3.40 | 15.1 GB | 25.8 GB | 14.73 GB | 2-bit quantization with K-quant improvements |
| Q3_K_Mest. | 3.90 | 17.3 GB | 27.9 GB | 16.90 GB | 3-bit medium quantization |
| Q4_K_M | 4.80 | 21.2 GB | 31.8 GB | 20.80 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 25.1 GB | 35.7 GB | 24.70 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 29.0 GB | 39.6 GB | 28.60 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 35.0 GB | 45.7 GB | 34.66 GB | 8-bit quantization, near-lossless |
| BF16est. | 16.00 | 69.7 GB | 80.4 GB | 69.32 GB | Brain floating point 16 — preferred for training |
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 SIQ 1 35B?
Q4_K_M · 21.2 GBSIQ 1 35B (Q4_K_M) requires 21.2 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 28+ GB is recommended. Using the full 262K context window can add up to 10.6 GB, bringing total usage to 31.8 GB. 7 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti.
Runs great
— Plenty of headroom
Which Devices Can Run SIQ 1 35B?
Q4_K_M · 21.2 GB41 devices with unified memory can run SIQ 1 35B, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Mini M4 Pro (24 GB).
Runs great
— Plenty of headroomDecent
— Enough memory, may be tightRelated Models
Frequently Asked Questions
- How much VRAM does SIQ 1 35B need?
SIQ 1 35B requires 21.2 GB of VRAM at Q4_K_M, or 69.7 GB at BF16. Full 262K context adds up to 10.6 GB (31.8 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 34.7B × 4.8 bits ÷ 8 = 20.8 GB
KV Cache + Overhead ≈ 0.4 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 11 GB (at full 262K context)
VRAM usage by quantization
Q4_K_M21.2 GBQ4_K_M + full context31.8 GB- Can NVIDIA GeForce RTX 4090 run SIQ 1 35B?
Yes, at Q4_K_M (21.2 GB) or lower. Higher quantizations like Q5_K_M (25.1 GB) exceed the NVIDIA GeForce RTX 4090's 24 GB.
- What's the best quantization for SIQ 1 35B?
For SIQ 1 35B, Q4_K_M (21.2 GB) offers the best balance of quality and VRAM usage. Q5_K_M (25.1 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 15.1 GB.
VRAM requirement by quantization
Q2_K15.1 GBQ4_K_M ★21.2 GBQ5_K_M25.1 GBQ6_K29.0 GBQ8_035.0 GBBF1669.7 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run SIQ 1 35B on a Mac?
SIQ 1 35B requires at least 15.1 GB at Q2_K, 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 SIQ 1 35B locally?
Yes — SIQ 1 35B can run locally on consumer hardware. At Q4_K_M quantization it needs 21.2 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is SIQ 1 35B?
At Q4_K_M, SIQ 1 35B can reach ~208 tok/s on AMD Instinct MI350X. On NVIDIA GeForce RTX 4090: ~31 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 ÷ 21.2 × 0.65 = ~246 tok/s
Estimated speed at Q4_K_M (21.2 GB)
~246 tok/s~31 tok/s~246 tok/s~208 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of SIQ 1 35B?
At Q4_K_M, the download is about 20.80 GB. The full-precision BF16 version is 69.32 GB. The smallest option (Q2_K) is 14.73 GB.
- Which GPUs can run SIQ 1 35B?
7 consumer GPUs can run SIQ 1 35B at Q4_K_M (21.2 GB). Top options include NVIDIA GeForce RTX 5090, AMD Radeon RX 7900 XTX, NVIDIA GeForce RTX 3090. 1 GPU have plenty of headroom for comfortable inference.
- Which devices can run SIQ 1 35B?
41 devices with unified memory can run SIQ 1 35B at Q4_K_M (21.2 GB), including AMD Ryzen AI 9 HX 370 (Strix Point) Laptop, ASUS Ascent GX10, Asus ROG Flow Z13 (2025, Ryzen AI Max+ 395, 128 GB), Beelink GTR9 Pro (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.