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  3. /PasLLM: An Object Pascal inference engine for LLM models
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  3. /PasLLM: An Object Pascal inference engine for LLM models
Nov 22, 2025 at 7:17 PM EST

PasLLM: An Object Pascal inference engine for LLM models

nor-and-or-not
3 points
1 comments

Mood

informative

Sentiment

neutral

Category

programming

Key topics

Object_pascal

Llm_models

Inference_engine

Programming

Open_source

Discussion Activity

Light discussion

First comment

N/A

Peak period

1

Hour 1

Avg / period

1

Comment distribution1 data points
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Based on 1 loaded comments

Key moments

  1. 01Story posted

    Nov 22, 2025 at 7:17 PM EST

    1d ago

    Step 01
  2. 02First comment

    Nov 22, 2025 at 7:17 PM EST

    0s after posting

    Step 02
  3. 03Peak activity

    1 comments in Hour 1

    Hottest window of the conversation

    Step 03
  4. 04Latest activity

    Nov 22, 2025 at 7:17 PM EST

    1d ago

    Step 04

Generating AI Summary...

Analyzing up to 500 comments to identify key contributors and discussion patterns

Discussion (1 comments)
Showing 1 comments
nor-and-or-not
1d ago
PasLLM runs models such as Llama 3.x, Qwen 2.5 and 3, Phi-3, Mixtral, Gemma 1, DeepSeek R1 and others locally, without any external dependencies for inference. Currently it only runs on the CPU, but GPU acceleration is planned.

The inference engine uses its own custom 4-bit quantization formats that balance good precision with reasonable model sizes, and also supports larger bit sizes. Models need to be converted into these formats using the provided tools, but pre-quantized models are available for download. Details about the optimized formats can be found here: https://github.com/BeRo1985/pasllm/blob/master/docs/quant_4b...

It supports both Delphi and Free Pascal on all major operating systems. A CLI version as well as programs and examples for various Pascal GUI frameworks (FMX, VCL, LCL) are included.

PasLLM is licensed under the AGPL 3.0 and may be integrated as a Pascal unit directly into third-party Object Pascal projects.

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ID: 46019556Type: story

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