HyperNova 60B 2605
MultiverseComputingCAIapache-2.0text

HyperNova 60B 2605

Updated Oct 31, 2026
Parameters
58.7B
Context
131,072
License
apache-2.0
Q4 GGUF
40.69 GB
Updated
Oct 31, 2026

Q4 GGUF download: mradermacher/Hypernova-60B-2605-GGUF - 40.69 GB on disk, read 2026-10-30. VRAM figures above are estimates; this is the actual file size.

Standard benchmarks

Performance across standard evaluations

BenchmarkScore
GPQA Diamond73.3
HLE16.6
IFBench66.5
Terminal-Bench23.5

Source: Artificial Analysis component evals - updated 2026-10-31.

Will it run on your hardware?

Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest

Too big for 24 GB at any quant
0 of 4 quantizations fit HyperNova 60B 2605 with real runtime overhead.

Need an exact figure for your context length? Use the VRAM calculator.

Run it locally

Copy-paste - running in under a minute

vLLMOpenAI-compatible API
vllm serve MultiverseComputingCAI/Hypernova-60B-2605

New to this? Start with Ollama · serve to many users with vLLM.

Deep dive

Notes, sources, and the full write-up

HyperNova 60B 2605 is a 58.7B-parameter apache-2.0 model from Multiverse Computing. At Q4_K_M it needs roughly 34 GB of VRAM, placing it in the 24–48 GB hardware tier.

Popularity

HyperNova 60B 2605 has 7,442 downloads in the last month on HuggingFace and 6 likes.

Frequently asked

Quick answers to common questions

How much VRAM does HyperNova 60B 2605 need?

HyperNova 60B 2605 with 58.7B parameters needs approximately 34 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.

Is HyperNova 60B 2605 better than other MultiverseComputingCAI models?

HyperNova 60B 2605 has 58.7B parameters with 131,072 context - a strong choice for general use.

What license is HyperNova 60B 2605 under?

HyperNova 60B 2605 is released under the apache-2.0 license, making it suitable for most commercial and personal projects.

What hardware runs HyperNova 60B 2605 well?

With 58.7B parameters, HyperNova 60B 2605 requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.

What is the best quantization for HyperNova 60B 2605?

Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~42 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.

How long can HyperNova 60B 2605's context window handle?

HyperNova 60B 2605 supports a 131,072-token context window - enough for very long documents, codebases, or multi-turn conversations. Real-world usable context may vary by implementation.

What models compete with HyperNova 60B 2605?

HyperNova 60B 2605 competes with other 29B–88B. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.

Nearby options

Similar models and compatible hardware by spec