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BruinsV2 OpHermesNeu 11B by Ba2han

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  Autotrain compatible   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: 0.14096
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
Updated2025-10-09
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 AWQ106 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  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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