Prometheus 7B V2.0 — Hardware Requirements & GPU Compatibility
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Prometheus 7B V2.0 is a specialized judge model trained by prometheus-eval to evaluate the quality of outputs from other language models. At 7.2 billion parameters, it is designed to score and critique LLM responses against custom rubrics, making it a valuable tool for automated evaluation pipelines and benchmarking. Unlike general-purpose chat models, Prometheus is purpose-built for assessment tasks. It can provide structured feedback on dimensions like helpfulness, accuracy, and coherence. Useful for researchers, developers building LLM applications, and anyone who needs consistent automated evaluation without relying on paid API calls to frontier models. Runs comfortably on most modern GPUs with 8 GB or more of VRAM.
75.4K downloads
101 likesSpecifications
- Publisher
- prometheus-eval
- Parameters
- 7.2B
- Architecture
- MistralForCausalLM
- Context Length
- 32,768 tokens
- Vocabulary Size
- 32,000
- Release Date
- 2024-11-29
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does Prometheus 7B V2.0 Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16 | 16.00 | 15.1 GB | 19.1 GB | 14.48 GB | Brain floating point 16 — preferred for training |
Which GPUs Can Run Prometheus 7B V2.0?
BF16 · 15.1 GBPrometheus 7B V2.0 (BF16) requires 15.1 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 20+ GB is recommended. Using the full 33K context window can add up to 4.0 GB, bringing total usage to 19.1 GB. 17 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti, NVIDIA GeForce RTX 5080.
Runs great
— Plenty of headroom
Decent
— Enough VRAM, may be tightWhich Devices Can Run Prometheus 7B V2.0?
BF16 · 15.1 GB27 devices with unified memory can run Prometheus 7B V2.0, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Mini M4 (16 GB).
Runs great
— Plenty of headroomRelated Models
Derivatives (1)
Frequently Asked Questions
- How much VRAM does Prometheus 7B V2.0 need?
Prometheus 7B V2.0 requires 15.1 GB of VRAM at BF16. Full 33K context adds up to 4.0 GB (19.1 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 7.2B × 16 bits ÷ 8 = 14.5 GB
KV Cache + Overhead ≈ 0.6 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 4.6 GB (at full 33K context)
VRAM usage by quantization
BF1615.1 GBBF16 + full context19.1 GB- Can I run Prometheus 7B V2.0 on a Mac?
Prometheus 7B V2.0 requires at least 15.1 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 Prometheus 7B V2.0 locally?
Yes — Prometheus 7B V2.0 can run locally on consumer hardware. At BF16 quantization it needs 15.1 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Prometheus 7B V2.0?
At BF16, Prometheus 7B V2.0 can reach ~194 tok/s on AMD Instinct MI300X. On NVIDIA GeForce RTX 4090: ~44 tok/s. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: AMD Instinct MI300X → 5300 ÷ 15.1 × 0.55 = ~194 tok/s
Estimated speed at BF16 (15.1 GB)
AMD Instinct MI300X~194 tok/sNVIDIA GeForce RTX 4090~44 tok/sNVIDIA H100 SXM~145 tok/sAMD Instinct MI250X~120 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Prometheus 7B V2.0?
At BF16, the download is about 14.48 GB.