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LLaMA community seeks new 70-80B parameter model contenders

By PulseAugur Editorial · [1 sources] ·

A user on the r/LocalLLaMA subreddit is seeking recommendations and expressing a desire for new large language models in the 70-80 billion parameter range. They currently use models like DSV4 Flash 0731, Inkling Small, Laguna S 2.1, and Step-3.7-Flash, but find their performance on agentic coding tasks to be somewhat slow. The user hopes for new Mixture-of-Experts (MoE) models in this size class that outperform current options like Qwen 3.6, aiming for significantly faster generation speeds on their hardware. AI

IMPACT User demand indicates a potential market gap for mid-sized, high-performance LLMs.

RANK_REASON User discussion and request for new models, not a release or official announcement.

Read on r/LocalLLaMA →

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

LLaMA community seeks new 70-80B parameter model contenders

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0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
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Commentary
User discussion and request for new models, not a release or official announcement.
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model release
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45 days old
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COVERAGE [1]

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

    We've gotten some great medium sized models lately (DSV4 Flash 0731, Inkling Small, Laguna S 2.1, Step 3.7 Flash) but does anybody else want to see some new 70-80b contenders?

    <!-- SC_OFF --><div class="md"><p>I can run the mediums, but sometimes I want a faster option that's smarter than Qwen 27B/35B.</p> <p>On my hardware I get like 500 to 800 tok/s prefill and 16 to 22 tok/s gen on ~120B class models, which is not the worst but it does get a bit ann…

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