Pantheon Reasoning 31B 1.1 — Hardware Requirements & GPU Compatibility
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Pantheon Reasoning 31B 1.1 is a 32.7B-parameter open language model from Gryphe. It supports a context window of up to 262,144 tokens. At BF16 it needs about 66.99 GB of VRAM — see which GPUs and Macs can run it below.
439 downloads
19 likesSpecifications
- Publisher
- Gryphe
- Parameters
- 32.7B
- Architecture
- Gemma4ForConditionalGeneration
- Context Length
- 262,144 tokens
- Vocabulary Size
- 262,144
- Release Date
- 2026-06-18
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does Pantheon Reasoning 31B 1.1 Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16est. | 16.00 | 67.0 GB | 234.8 GB | 65.36 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 Pantheon Reasoning 31B 1.1?
BF16 · 67.0 GBPantheon Reasoning 31B 1.1 (BF16) requires 67.0 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 88+ GB is recommended. Using the full 262K context window can add up to 167.8 GB, bringing total usage to 234.8 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run Pantheon Reasoning 31B 1.1?
BF16 · 67.0 GB19 devices with unified memory can run Pantheon Reasoning 31B 1.1, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Studio (M3 Ultra, 96GB).
Runs great
— Plenty of headroom
Decent
— Enough memory, may be tightRelated Models
Frequently Asked Questions
- How much VRAM does Pantheon Reasoning 31B 1.1 need?
Pantheon Reasoning 31B 1.1 requires 67.0 GB of VRAM at BF16. Full 262K context adds up to 167.8 GB (234.8 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 32.7B × 16 bits ÷ 8 = 65.4 GB
KV Cache + Overhead ≈ 1.6 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 169.4 GB (at full 262K context)
VRAM usage by quantization
BF1667.0 GBBF16 + full context234.8 GB- Can NVIDIA GeForce RTX 5090 run Pantheon Reasoning 31B 1.1?
No — Pantheon Reasoning 31B 1.1 requires at least 67.0 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run Pantheon Reasoning 31B 1.1 on a Mac?
Pantheon Reasoning 31B 1.1 requires at least 67.0 GB at BF16, 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 Pantheon Reasoning 31B 1.1 locally?
Yes — Pantheon Reasoning 31B 1.1 can run locally on consumer hardware. At BF16 quantization it needs 67.0 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Pantheon Reasoning 31B 1.1?
At BF16, Pantheon Reasoning 31B 1.1 can reach ~66 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 ÷ 67.0 × 0.65 = ~78 tok/s
Estimated speed at BF16 (67.0 GB)
~78 tok/s~78 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 Pantheon Reasoning 31B 1.1?
At BF16, the download is about 65.36 GB.
- Which GPUs can run Pantheon Reasoning 31B 1.1?
No single consumer GPU has enough VRAM to run Pantheon Reasoning 31B 1.1 at BF16 (67.0 GB). Multi-GPU or professional hardware is required.
- Which devices can run Pantheon Reasoning 31B 1.1?
19 devices with unified memory can run Pantheon Reasoning 31B 1.1 at BF16 (67.0 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.