MonadGPT-GGUF
Can I run MonadGPT-GGUF on my computer?
It depends on your memory, processor, file format and runtime. Hugging Bay offers 1 hosted file; check the file list for the exact selection. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.
MonadGPT-GGUF is an open-weights language model for text generation. Model weights are learned parameters; a runtime loads them. Hosting files does not prove that a complete model runs.
As of the availability check on .
Recorded SHA-256 for MonadGPT.Q4_K_M.gguf: 11833bdf2c001f3bc19aec269424787ac017c18dada2b5efc96e82b2bfe53012. File evidence · Machine-readable facts · Run evidence and any recorded receipts · Proof Lab measurement policy. A checksum verifies byte identity, not safety; this answer asserts no measured runtime result.
Updated · Page text: As of · Content revision
Model metadata: As of at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked .
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QuantFactory/MonadGPT-GGUFModellinformationen
MonadGPT-GGUF is an open-weights language model for text generation. The primary file is MonadGPT.Q4_K_M.gguf (4.37 GB, Q4_K_M). The primary file needs about 6 GB free for the Q4 file (file plus room to run it). License: Apache 2.0. The SHA-256 prefix is 11833bdf2c00. The primary Download is available now. No tested run commands for this file yet. See Files for current download availability. The size and hash details refer to the selected file, not every file in the repository. The memory figure is estimated from recorded file size with working room included.
Enthaltene Dateien
1 hosted of 16 listed
Über dieses Modell
External Hugging Face catalog record for QuantFactory/MonadGPT-GGUF. Task: text generation. Library: transformers. Languages: en, fr, la. Datasets referenced by card metadata: Pclanglais/MonadGPT. Base model: teknium/OpenHermes-2-Mistral-7B. Popularity signal at import: 235 downloads and 3 likes.
Kurzinfo
- Hosted here
- 1 hosted of 16 listed
- Full repo upstream
- 64.6 GB
- Recommended file
- 4.37 GB (Q4_K_M) · MonadGPT.Q4_K_M.gguf
- Languages
- en, fr, la
- Format
- GGUF
- File hashes
- Hashes recorded. Date not recorded.
Lizenz und Quelle
License: apache-2.0
1 hosted of 16 listed
Check the license text and keep the required notices when you use or share the files.
Upstream source →- Task
- text generation
- Hosted here
- 1 file, 4.37 GB
- Full repo upstream
- 64.6 GB
- Recommended file
- 4.37 GB (Q4_K_M) · MonadGPT.Q4_K_M.gguf
- Files
- 1 hosted of 16 listed
- Download
- Download here (1 hosted file)
- Added to Hugging Bay
- Updated at source
FAQ
What is this model?
QuantFactory/MonadGPT-GGUF is an open-weights language model for text generation published by QuantFactory, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for text generation: QuantFactory/MonadGPT-GGUF · transformers
Can I use it commercially?
It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.
How big is it?
Hosted here: 1 file, 4.37 GB. Full repo upstream: 64.6 GB. The recommended download, MonadGPT.Q4_K_M.gguf (Q4_K_M), is 4.37 GB.
What can I download here?
Hosted here: 1 file, 4.37 GB. Full repo upstream: 64.6 GB. The original release is at https://huggingface.co/QuantFactory/MonadGPT-GGUF.
File checks and computer fit
File pattern scans
Automated file-pattern scans flagged nothing; not a safety guarantee. 1 hosted file carries a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-quantfactory-monadgpt-gguf/safety on Hugging Bay.
Will QuantFactory/MonadGPT-GGUF run on my computer?
We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.
Repack of teknium/openhermes-2-mistral-7b (from the publisher card on Hugging Face). This does not mean the files match the original weights.
2 other repacks declare the same base on their cards.