---

license: apache-2.0

base_model: groxaxo/MagiSeek-V1.1

pipeline_tag: text-generation

tags:

- magiseek

- gguf

- llama-cpp

- coding-agent

---

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

| Field | Details |

|---|---|

| Format | GGUF |

| Source / base | groxaxo/MagiSeek-V1.1 |

| Intended task | text-generation |

| License | apache-2.0 |

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.

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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

| File | Quantization | Practical use |

|---|---|---|

| MagiSeek-V1.1-Q8_0.gguf | Q8_0 | Highest fidelity, largest memory footprint |

| MagiSeek-V1.1-Q6_K.gguf | Q6_K | Strong quality/size balance |

| MagiSeek-V1.1-Q5_K_M.gguf | Q5_K_M | Balanced everyday local use |

| MagiSeek-V1.1-Q4_K_M.gguf | Q4_K_M | Smallest of this release set |

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.