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BruinsV2 OpHermesNeu 11B by Ba2han

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BruinsV2 OpHermesNeu 11B is an open-source language model by Ba2han. Features: 11b LLM, VRAM: 21.4GB, Context: 32K, License: mit, HF Score: 69.9, LLM Explorer Score: 0.13, Arc: 68.1, HellaSwag: 84.7, MMLU: 64.2, TruthfulQA: 62.8, WinoGrande: 79.5, GSM8K: 60.1.

  Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Ba2han/BruinsV2-OpHermesNeu-11B 

BruinsV2 OpHermesNeu 11B Benchmarks

ARC: 68.09 vs 96.7 (so35)-29.6%
HellaSwag: 84.7 vs 95.3 (gpt4)-11.1%
MMLU: 64.19 vs 88.3 (so35)-27.3%
TruthfulQA: 62.76 vs 59 (gpt4)6.4%
WinoGrande: 79.48 vs 87.5 (gpt4)-9.2%
GSM8K: 60.05 vs 96.4 (so35)-37.7%
LLME Score: 0.12872
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BruinsV2 OpHermesNeu 11B (Ba2han/BruinsV2-OpHermesNeu-11B)
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BruinsV2 OpHermesNeu 11B Parameters and Internals

Model Type 
neural chat
Additional Notes 
The model sometimes throws wrong tags and may hallucinate in chat mode, especially with adblocker messages. Uncertainty over dataset poisoning.
Input Output 
Performance Tips:
Use Mirostat settings to improve output quality. Consider using Custom stopping strings to mitigate wrong tags.
LLM NameBruinsV2 OpHermesNeu 11B
Repository 🤗https://huggingface.co/Ba2han/BruinsV2-OpHermesNeu-11B 
Model Size11b
Required VRAM21.4 GB
Updated2026-03-17
MaintainerBa2han
Model Typemistral
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   1.6 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the BruinsV2 OpHermesNeu 11B

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BruinsV2 OpHermesNeu 11B GGUF11504 GB
BruinsV2 OpHermesNeu 11B GPTQ216 GB
BruinsV2 OpHermesNeu 11B AWQ126 GB

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Note: green Score (e.g. "73.2") means that the model is better than Ba2han/BruinsV2-OpHermesNeu-11B.

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Instruction Following and Task Automation  
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