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Medius Erebus Magnum 14B by underwoods

By underwoods · 6 downloads
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Medius Erebus Magnum 14B is an open-source language model by underwoods. Features: 14b LLM, VRAM: 29.7GB, Context: 128K, LLM Explorer Score: 0.15.

  Axolotl Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-14b   Conversational   Endpoints compatible   Generated from trainer   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/underwoods/medius-erebus-magnum-14b 

Medius Erebus Magnum 14B Parameters and Internals

LLM NameMedius Erebus Magnum 14B
Repository 🤗https://huggingface.co/underwoods/medius-erebus-magnum-14b 
Base Model(s)  Qwen/Qwen2.5-14B   Qwen/Qwen2.5-14B
Model Size14b
Required VRAM29.7 GB
Updated2026-06-03
Maintainerunderwoods
Model Typeqwen2
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.7 GB: 6-of-6
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.45.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Medius Erebus Magnum 14B

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Qwen2.5 14B Instruct 1M986K / 29.6 GB10388342
T3Q Qwen2.5 14B V1.0 E3986K / 29.7 GB85228
ZYH LLM Qwen2.5 14B V4986K / 29.7 GB278
Qwen2.5 14B 1M YOYO V3986K / 29.7 GB2544
Qwen2.5 14B YOYO V4986K / 29.7 GB205
Qwen2.5 14B YOYO Latest V2986K / 29.7 GB1290
ZYH LLM Qwen2.5 14B V3986K / 29.7 GB238
...14B Instruct 1M GRPO Reasoning986K / 29.7 GB114
Etr1o V1.2986K / 29.7 GB110
Impish QWEN 14B 1M986K / 29.7 GB5626
Note: green Score (e.g. "73.2") means that the model is better than underwoods/medius-erebus-magnum-14b.