jtl11·Glm4MoeForCausalLM

INTELLECT 3 REAP 50 Heretic — Hardware Requirements & GPU Compatibility

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INTELLECT 3 REAP 50 Heretic is a 57.0B-parameter open language model from jtl11. It supports a context window of up to 131,072 tokens. At Q4_K_M it needs about 34.64 GB of VRAM — see which GPUs and Macs can run it below.

1 downloads 4 likes131K context
Based on INTELLECT 3

Specifications

Publisher
jtl11
Parameters
57.0B
Architecture
Glm4MoeForCausalLM
Context Length
131,072 tokens
Vocabulary Size
151,552
Release Date
2026-01-18
License
Apache 2.0

Get Started

How Much VRAM Does INTELLECT 3 REAP 50 Heretic Need?

Select a quantization to see compatible GPUs below.

QuantizationBitsVRAM
Q2_Kest.3.4024.7 GB
Q3_K_Mest.3.9028.2 GB
Q4_K_Mest.4.8034.6 GB
Q5_K_Mest.5.7041.0 GB
Q6_Kest.6.6047.5 GB
Q8_0est.8.0057.4 GB
BF16est.16.00114.5 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 INTELLECT 3 REAP 50 Heretic?

Q4_K_M · 34.6 GB

INTELLECT 3 REAP 50 Heretic (Q4_K_M) requires 34.6 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 46+ GB is recommended. Using the full 131K context window can add up to 8.1 GB, bringing total usage to 42.7 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.

Which Devices Can Run INTELLECT 3 REAP 50 Heretic?

Q4_K_M · 34.6 GB

29 devices with unified memory can run INTELLECT 3 REAP 50 Heretic, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, MacBook Pro 16" M4 Max (48 GB).

Frequently Asked Questions

How much VRAM does INTELLECT 3 REAP 50 Heretic need?

INTELLECT 3 REAP 50 Heretic requires 34.6 GB of VRAM at Q4_K_M, or 114.5 GB at BF16. Full 131K context adds up to 8.1 GB (42.7 GB total).

VRAM = Weights + KV Cache + Overhead

Weights = 57.0B × 4.8 bits ÷ 8 = 34.2 GB

KV Cache + Overhead 0.4 GB (at 2K context + ~0.3 GB framework)

KV Cache + Overhead 8.5 GB (at full 131K context)

VRAM usage by quantization

34.6 GB
42.7 GB

Learn more about VRAM estimation →

Can NVIDIA GeForce RTX 5090 run INTELLECT 3 REAP 50 Heretic?

Yes, at Q3_K_M (28.2 GB) or lower. Higher quantizations like Q4_K_M (34.6 GB) exceed the NVIDIA GeForce RTX 5090's 32 GB.

What's the best quantization for INTELLECT 3 REAP 50 Heretic?

For INTELLECT 3 REAP 50 Heretic, Q4_K_M (34.6 GB) offers the best balance of quality and VRAM usage. Q5_K_M (41.0 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 24.7 GB.

VRAM requirement by quantization

Q2_K
24.7 GB
Q4_K_M
34.6 GB
Q5_K_M
41.0 GB
Q6_K
47.5 GB
Q8_0
57.4 GB
BF16
114.5 GB

★ Recommended — best balance of quality and VRAM usage.

Learn more about quantization →

Can I run INTELLECT 3 REAP 50 Heretic on a Mac?

INTELLECT 3 REAP 50 Heretic requires at least 24.7 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 INTELLECT 3 REAP 50 Heretic locally?

Yes — INTELLECT 3 REAP 50 Heretic can run locally on consumer hardware. At Q4_K_M quantization it needs 34.6 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.

How fast is INTELLECT 3 REAP 50 Heretic?

At Q4_K_M, INTELLECT 3 REAP 50 Heretic can reach ~127 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 B2008000 ÷ 34.6 × 0.65 = ~150 tok/s

Estimated speed at Q4_K_M (34.6 GB)

~150 tok/s
~150 tok/s
~127 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 INTELLECT 3 REAP 50 Heretic?

At Q4_K_M, the download is about 34.21 GB. The full-precision BF16 version is 114.02 GB. The smallest option (Q2_K) is 24.23 GB.

Which GPUs can run INTELLECT 3 REAP 50 Heretic?

No single consumer GPU has enough VRAM to run INTELLECT 3 REAP 50 Heretic at Q4_K_M (34.6 GB). Multi-GPU or professional hardware is required.

Which devices can run INTELLECT 3 REAP 50 Heretic?

29 devices with unified memory can run INTELLECT 3 REAP 50 Heretic at Q4_K_M (34.6 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.