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DeepSeek V4 integrated and tested on Framework Desktop PC

By PulseAugur Editorial · [1 sources] ·

The DeepSeek V4 model has been successfully integrated and tested on a Framework Desktop PC equipped with an AMD Strix Halo processor and 128GB of RAM, running within the Lemonade server environment. Initial tests for code snippet generation yielded impressive results, with the model demonstrating consistent performance even with extended context lengths, though its speed was noted as relatively slow. Despite some instability and premature stream endings with very long contexts (around 35k total tokens), the overall experience with DeepSeek V4 for code generation was positive, with the model producing high-quality code and regenerating it accurately from a plan. AI

IMPACT Demonstrates potential for running advanced LLMs on consumer-grade hardware, though speed and context length remain limitations.

RANK_REASON User successfully integrated and tested an AI model on specific hardware and software.

Read on Mastodon — fosstodon.org →

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

DeepSeek V4 integrated and tested on Framework Desktop PC

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0 / 100
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Tool
User successfully integrated and tested an AI model on specific hardware and software.
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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.
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model release, product
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High
Clearly on-topic for AI-industry coverage.
Story freshness
53 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    I got Deepseek V4 work in Framework Desktop, an AMD Strix Halo PC with 128G memory, inside Lemonade server. I briefly tested code snippet generation, and result

    I got Deepseek V4 work in Framework Desktop, an AMD Strix Halo PC with 128G memory, inside Lemonade server. I briefly tested code snippet generation, and result was pretty good. Downsides are that it's rather slow and context is short. But coming from a mini-PC it's still *very* …

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