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Developer seeks interest for open-source 9.4B parameter dense LLM

An independent developer is seeking community interest for a 9.4 billion parameter dense language model they have developed. The model incorporates advanced techniques like Moonshot's AttnRes modeling and RoPE/NoPE layering, and uses the Llama 3 tokenizer. The developer plans to open-source the code and data, but is encountering licensing issues with Llama 3's tokenizer and synthetic data, prompting a potential shift to the OLMo 3 series. They are looking for users or a datacenter to help train and utilize the model, tentatively named "Budget", beyond a research artifact. AI

IMPACT Potentially offers a new open-source model option for researchers and developers, though its ultimate utility depends on community engagement and further training.

RANK_REASON Developer-led project releasing code and data, not a frontier lab release.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developer seeks interest for open-source 9.4B parameter dense LLM

How we ranked this

Signal score
1 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
Developer-led project releasing code and data, not a frontier lab release.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Same-day
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Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/NineThreeTilNow ·

    Is there still strong interest in a dense 9b model?

    <!-- SC_OFF --><div class="md"><p>I have a full model, it's ready to train. It's ~9b parameters.</p> <p>9.4b to be more exact. That includes a 1/2/3 Engram table, Moonshot's AttnRes modeling, and RoPE / NoPE layering at 3:1 as more or less validated by most major labs. It uses th…