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Agens Volundr 32B Preview

Open 32B model: only 18 of its 72 layers keep a KV cache

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This is 1 of 143 launches in large language models — see how it stacks up on momentum and crowding →

24 other launches read as similar to this one →

Details

External ID
1269777
Source
PH
Company
—
Product
Agens Volundr 32B Preview
Website domain
producthunt.com
Launched
Oct. 5, 2026
Cohort
—
Upvotes
1
Upvotes percentile
0.33
Tags
Open Source, Developer Tools, Artificial Intelligence

Description

Agens Volundr is a dense 32B open-weights model for agents and long working sessions. Only 18 of its 72 layers keep a KV cache; the other 54 are linear attention with a fixed-size state, so long context stays affordable on hardware you own. Decode holds at 23.9 tok/s even at 128K context (BF16, two 48 GB GPUs, single user). 262K window, Apache-2.0, BF16 and INT4 (one 48 GB GPU). Runs on our open sglang build; GGUF planned.

Enrichment

Niche
large language models
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
open 32b llm with reduced kv cache for developers
Manually corrected
False

Could you build this?

No Training or fine-tuning a novel 32B hybrid linear/KV-attention architecture requires deep machine learning research, custom CUDA kernels, and hundreds of thousands of dollars in high-end GPU compute.

What it would actually take: Developing this requires ML researchers designing custom hybrid architectures (e.g., combining Mamba/linear attention with multi-head attention), writing custom Triton/CUDA kernels for hybrid state inference, and pretraining/continual pretraining across large token datasets on a multi-node H100 cluster.

Competitors

Other products that read as similar to this one — 24 launches clear the similarity bar, closest 8 shown.

Attention rank: #16 of 25 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 223 days after the earliest competitor.

Other launches for this product