MonoCoder OMP is an open-source language model by MonoCoder. Features: LLM, VRAM: 3.6GB, Context: 2K, LLM Explorer Score: 0.11.
Model Card on HF 🤗: https://huggingface.co/MonoCoder/MonoCoder_OMP
MonoCoder OMP Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
MonoCoder OMP Parameters and Internals
| LLM Name | MonoCoder OMP |
| Repository 🤗 | https://huggingface.co/MonoCoder/MonoCoder_OMP |
| Required VRAM | 3.6 GB |
| Updated | 2026-04-03 |
| Maintainer | MonoCoder |
| Model Type | gpt_neox |
| Model Files | |
| Model Architecture | GPTNeoXForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.23.1 |
| Vocabulary Size | 50688 |
| Torch Data Type | float32 |
Best Alternatives to MonoCoder OMP
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Catlm | 8K / 7.8 GB | 183 | 4 |
| ...Prover 14final Checkpoint 5830 | 4K / 14.9 GB | 5 | 0 |
| Neox Musenet Untrained | 4K / 7.3 GB | 5 | 0 |
| Stabillm Instruct De | 4K / 31.8 GB | 7 | 0 |
| Open Calm Large | 2K / 1.8 GB | 840 | 10 |
| ProofGPT V0.1 | 2K / 2.9 GB | 851 | 3 |
| Open Calm Small | 2K / 0.4 GB | 4580 | 20 |
| KULLM RLHF | 2K / 25.8 GB | 3 | 3 |
| Step3 Mk7 | 2K / 25.8 GB | 6 | 0 |
| Ppo Model | 2K / 2.7 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than MonoCoder/MonoCoder_OMP .
Rank the MonoCoder OMP Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a