groxaxo/MagiSeek-V1.1-GGUF

MagiSeek V1.1 GGUF

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Overview

MagiSeek-V1.1-GGUF is a GGUF release for llama.cpp-compatible runtimes and local inference, published by `groxaxo`. It is intended for open-source evaluation, reproducible experimentation, and compatible local or hosted inference workflows. The wording below is deliberately limited to what can be verified from this repository's metadata and artifacts.

At a glance

What is included

• —*.gguf (4 files)
• —Additional configuration, tokenizer, processor, or shard files (4 visible artifacts total)

Quick start

llama.cpp

Download a .gguf file that fits your available memory, then run it with a current llama.cpp build:

llama-cli \
  -m /path/to/model.gguf \
  -p "Write a concise technical summary."

For vision or any-to-any models, download the matching multimodal projection file when one is provided and follow the source model's modality-specific instructions.

Compatibility and responsible use

• —Use a runtime that explicitly supports this format, architecture, and modality.
• —Keep configuration, tokenizer, processor, projection, and weight files from the same revision together.
• —Review the source model card and license before redistribution or deployment.
• —Hardware needs depend on parameter count, context length, cache precision, quantization, and concurrency.
• —Report reproducible issues with the runtime version, hardware, launch command, and a minimal example.

Quantization or conversion changes numerical behavior, memory use, and throughput relative to the source checkpoint; validate quality on your own workload.

Generated outputs may be inaccurate or unsuitable for a given use case. Users are responsible for testing behavior, applying appropriate safeguards, and complying with applicable licenses and laws. <!-- polished-overview:end -->

CPU-friendly GGUF builds of MagiSeek V1.1, the step-800 merged continuation of MagiSeek-Pro-V1.

These files are made from the same verified merged checkpoint. They are provided for people who want to run the model locally with llama.cpp and compatible applications, without requiring a GPU. Lower-bit files use less memory and run more easily on ordinary machines; higher-bit files preserve more of the original bfloat16 model's detail.

Files

llama.cpp example

llama-cli -m MagiSeek-V1.1-Q5_K_M.gguf \
  -c 8192 -ngl 0 \
  -p "Explain what you can help me build."

-ngl 0 is an explicit CPU-only example. Remove or increase it when using a compatible GPU. Tool execution and generated code must be reviewed and sandboxed before use.

Honest status

This is an early checkpoint, not the completed 10-epoch run. It was captured at global step 800 (approximately 0.187 epoch) and has not been benchmark-certified against the base model. See the full model card for training details, limitations, and intended use.