Goedel-LM·Qwen3ForCausalLM

Goedel Prover v2 8B — Hardware Requirements & GPU Compatibility

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Goedel Prover v2 8B is a 8.2B-parameter open language model from Goedel-LM. It supports a context window of up to 40,960 tokens. At Q4_K_M it needs about 5.52 GB of VRAM — see which GPUs and Macs can run it below.

8.3K downloads 29 likes41K context
Based on Qwen3 8B

Specifications

Publisher
Goedel-LM
Parameters
8.2B
Architecture
Qwen3ForCausalLM
Context Length
40,960 tokens
Vocabulary Size
151,936
Release Date
2025-07-15
License
Apache 2.0

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How Much VRAM Does Goedel Prover v2 8B Need?

Select a quantization to see compatible GPUs below.

QuantizationBitsVRAM
Q2_Kest.3.404.1 GB
Q3_K_Mest.3.904.6 GB
Q4_K_Mest.4.805.5 GB
Q5_K_Mest.5.706.4 GB
Q6_Kest.6.607.4 GB
Q8_0est.8.008.8 GB
BF16est.16.0017.0 GB

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 Goedel Prover v2 8B?

Q4_K_M · 5.5 GB

Goedel Prover v2 8B (Q4_K_M) requires 5.5 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 8+ GB is recommended. Using the full 41K context window can add up to 5.7 GB, bringing total usage to 11.3 GB. 50 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti, NVIDIA GeForce RTX 3070 Ti.

Runs great

Plenty of headroom

Which Devices Can Run Goedel Prover v2 8B?

Q4_K_M · 5.5 GB

58 devices with unified memory can run Goedel Prover v2 8B, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, MacBook Air 13" M3 (8 GB).

Runs great

Plenty of headroom
NVIDIA DGX H100~3156 tok/sNVIDIA DGX A100 640GB~1921 tok/sMac Studio (M3 Ultra, 256GB)~104 tok/sMac Studio (M3 Ultra, 512GB)~104 tok/sMac Studio (M3 Ultra, 96GB)~104 tok/sMac Pro M2 Ultra (192 GB)~101 tok/sMac Studio M2 Ultra (192 GB)~101 tok/sMacBook Pro 16" M5 Max (128 GB)~78 tok/sMac Studio M4 Max (128 GB)~69 tok/sMac Studio M4 Max (64 GB)~69 tok/sMacBook Pro 16" M4 Max (48 GB)~69 tok/sMacBook Pro 16" M4 Max (64 GB)~69 tok/sMac Studio M4 Max (36 GB)~52 tok/sMacBook Pro 14" M4 Max (36 GB)~52 tok/sMacBook Pro 16" M3 Max (48 GB)~52 tok/sMacBook Pro 14-inch (M5 Pro)~39 tok/sMac Mini M4 Pro (24 GB)~35 tok/sMac Mini M4 Pro (48 GB)~35 tok/sMacBook Pro 14" M4 Pro (24 GB)~35 tok/sMacBook Pro 16" M4 Pro (24 GB)~35 tok/sASUS Ascent GX10~32 tok/sNVIDIA DGX Spark~32 tok/sNVIDIA Jetson AGX Thor Developer Kit~32 tok/sAsus ROG Flow Z13 (2025, Ryzen AI Max+ 395, 128 GB)~30 tok/sBeelink GTR9 Pro (Ryzen AI Max+ 395, 128 GB)~30 tok/sFramework Desktop (Ryzen AI Max+ 395, 128 GB)~30 tok/sGMKtec EVO-X2 (Ryzen AI Max+ 395, 128 GB)~30 tok/sHP Z2 Mini G1a (Ryzen AI Max+ PRO 395, 128 GB)~30 tok/sHP ZBook Ultra G1a 14 (Ryzen AI Max+ PRO 395, 128 GB)~30 tok/sMinisforum MS-S1 MAX (Ryzen AI Max+ 395, 128 GB)~30 tok/sSnapdragon X2 Elite Extreme Copilot+ PC~27 tok/sNVIDIA Jetson AGX Orin 32GB~24 tok/sNVIDIA Jetson AGX Orin 64GB~24 tok/sMacBook Pro 14-inch (M5)~20 tok/siPad Pro M5 13" (16 GB)~19 tok/sSnapdragon X Elite Copilot+ PC~16 tok/sMac Mini M4 (16 GB)~15 tok/sMac Mini M4 (32 GB)~15 tok/sMacBook Air 13" M4 (16 GB)~15 tok/sMacBook Air 13" M4 (24 GB)~15 tok/sMacBook Air 15" M4 (16 GB)~15 tok/sMacBook Air 15" M4 (24 GB)~15 tok/sMacBook Pro 14" M4 (16 GB)~15 tok/siPad Pro M4 13" (16 GB)~15 tok/sMacBook Air 13" M3 (16 GB)~13 tok/sMacBook Air 13" M3 (24 GB)~13 tok/sIntel Core Ultra 9 288V (Lunar Lake) Laptop~12 tok/sNVIDIA Jetson Orin NX 16GB~12 tok/sAMD Ryzen AI 9 HX 370 (Strix Point) Laptop~12 tok/s

Related Models

Frequently Asked Questions

How much VRAM does Goedel Prover v2 8B need?

Goedel Prover v2 8B requires 5.5 GB of VRAM at Q4_K_M, or 17.0 GB at BF16. Full 41K context adds up to 5.7 GB (11.3 GB total).

VRAM = Weights + KV Cache + Overhead

Weights = 8.2B × 4.8 bits ÷ 8 = 4.9 GB

KV Cache + Overhead 0.6 GB (at 2K context + ~0.3 GB framework)

KV Cache + Overhead 6.4 GB (at full 41K context)

VRAM usage by quantization

5.5 GB
11.3 GB

Learn more about VRAM estimation →

What's the best quantization for Goedel Prover v2 8B?

For Goedel Prover v2 8B, Q4_K_M (5.5 GB) offers the best balance of quality and VRAM usage. Q5_K_M (6.4 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 4.1 GB.

VRAM requirement by quantization

Q2_K
4.1 GB
Q4_K_M
5.5 GB
Q5_K_M
6.4 GB
Q6_K
7.4 GB
Q8_0
8.8 GB
BF16
17.0 GB

★ Recommended — best balance of quality and VRAM usage.

Learn more about quantization →

Can I run Goedel Prover v2 8B on a Mac?

Goedel Prover v2 8B requires at least 4.1 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 Goedel Prover v2 8B locally?

Yes — Goedel Prover v2 8B can run locally on consumer hardware. At Q4_K_M quantization it needs 5.5 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.

How fast is Goedel Prover v2 8B?

At Q4_K_M, Goedel Prover v2 8B can reach ~797 tok/s on AMD Instinct MI350X. On NVIDIA GeForce RTX 4090: ~119 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 B2008000 ÷ 5.5 × 0.65 = ~942 tok/s

Estimated speed at Q4_K_M (5.5 GB)

~942 tok/s
~119 tok/s
~942 tok/s
~797 tok/s

Real-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.

Learn more about tok/s estimation →

What's the download size of Goedel Prover v2 8B?

At Q4_K_M, the download is about 4.91 GB. The full-precision BF16 version is 16.38 GB. The smallest option (Q2_K) is 3.48 GB.

Which GPUs can run Goedel Prover v2 8B?

50 consumer GPUs can run Goedel Prover v2 8B at Q4_K_M (5.5 GB). Top options include AMD Radeon RX 6700 XT, AMD Radeon RX 6800, AMD Radeon RX 6800 XT, AMD Radeon RX 7600. 39 GPUs have plenty of headroom for comfortable inference.

Which devices can run Goedel Prover v2 8B?

59 devices with unified memory can run Goedel Prover v2 8B at Q4_K_M (5.5 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.