Hypernova 60B 2605 — Hardware Requirements & GPU Compatibility
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Hypernova 60B 2605 is a 58.7B-parameter open language model from MultiverseComputingCAI. It supports a context window of up to 131,072 tokens. At Q4_K_M it needs about 35.59 GB of VRAM — see which GPUs and Macs can run it below.
4.9K downloads
7 likesSpecifications
- Publisher
- MultiverseComputingCAI
- Parameters
- 58.7B
- Architecture
- GptOssForCausalLM
- Context Length
- 131,072 tokens
- Vocabulary Size
- 201,088
- Release Date
- 2026-04-30
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does Hypernova 60B 2605 Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_Kest. | 3.40 | 25.3 GB | 31.3 GB | 24.93 GB | 2-bit quantization with K-quant improvements |
| Q3_K_Mest. | 3.90 | 29.0 GB | 34.9 GB | 28.60 GB | 3-bit medium quantization |
| Q4_K_Mest. | 4.80 | 35.6 GB | 41.5 GB | 35.20 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_Mest. | 5.70 | 42.2 GB | 48.1 GB | 41.79 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_Kest. | 6.60 | 48.8 GB | 54.7 GB | 48.39 GB | 6-bit quantization, very good quality |
| Q8_0est. | 8.00 | 59.0 GB | 65 GB | 58.66 GB | 8-bit quantization, near-lossless |
| BF16est. | 16.00 | 117.7 GB | 123.7 GB | 117.32 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 Hypernova 60B 2605?
Q4_K_M · 35.6 GBHypernova 60B 2605 (Q4_K_M) requires 35.6 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 47+ GB is recommended. Using the full 131K context window can add up to 5.9 GB, bringing total usage to 41.5 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run Hypernova 60B 2605?
Q4_K_M · 35.6 GB29 devices with unified memory can run Hypernova 60B 2605, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, MacBook Pro 16" M4 Max (48 GB).
Runs great
— Plenty of headroom
Frequently Asked Questions
- How much VRAM does Hypernova 60B 2605 need?
Hypernova 60B 2605 requires 35.6 GB of VRAM at Q4_K_M, or 117.7 GB at BF16. Full 131K context adds up to 5.9 GB (41.5 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 58.7B × 4.8 bits ÷ 8 = 35.2 GB
KV Cache + Overhead ≈ 0.4 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 6.3 GB (at full 131K context)
VRAM usage by quantization
Q4_K_M35.6 GBQ4_K_M + full context41.5 GB- Can NVIDIA GeForce RTX 5090 run Hypernova 60B 2605?
Yes, at Q3_K_M (29.0 GB) or lower. Higher quantizations like Q4_K_M (35.6 GB) exceed the NVIDIA GeForce RTX 5090's 32 GB.
- What's the best quantization for Hypernova 60B 2605?
For Hypernova 60B 2605, Q4_K_M (35.6 GB) offers the best balance of quality and VRAM usage. Q5_K_M (42.2 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 25.3 GB.
VRAM requirement by quantization
Q2_K25.3 GBQ4_K_M ★35.6 GBQ5_K_M42.2 GBQ6_K48.8 GBQ8_059.0 GBBF16117.7 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run Hypernova 60B 2605 on a Mac?
Hypernova 60B 2605 requires at least 25.3 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 Hypernova 60B 2605 locally?
Yes — Hypernova 60B 2605 can run locally on consumer hardware. At Q4_K_M quantization it needs 35.6 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Hypernova 60B 2605?
At Q4_K_M, Hypernova 60B 2605 can reach ~124 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 ÷ 35.6 × 0.65 = ~146 tok/s
Estimated speed at Q4_K_M (35.6 GB)
~146 tok/s~146 tok/s~124 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Hypernova 60B 2605?
At Q4_K_M, the download is about 35.20 GB. The full-precision BF16 version is 117.32 GB. The smallest option (Q2_K) is 24.93 GB.
- Which GPUs can run Hypernova 60B 2605?
No single consumer GPU has enough VRAM to run Hypernova 60B 2605 at Q4_K_M (35.6 GB). Multi-GPU or professional hardware is required.
- Which devices can run Hypernova 60B 2605?
29 devices with unified memory can run Hypernova 60B 2605 at Q4_K_M (35.6 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.