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CapybaraHermes 2.5 Mistral 7B by argilla

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Base model:finetune:teknium/op... Base model:teknium/openhermes-...   Dataset:argilla/dpo-mix-7k   Distilabel   Dpo   En   Mistral   Model-index   Region:us   Rlaif   Rlhf   Safetensors   Sharded   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/argilla/CapybaraHermes-2.5-Mistral-7B 

CapybaraHermes 2.5 Mistral 7B Benchmarks

ARC: 65.78 vs 96.7 (so35)-32%
HellaSwag: 85.45 vs 95.3 (gpt4)-10.3%
MMLU: 63.13 vs 88.3 (so35)-28.5%
TruthfulQA: 56.91 vs 59 (gpt4)-3.5%
WinoGrande: 78.3 vs 87.5 (gpt4)-10.5%
GSM8K: 59.29 vs 96.4 (so35)-38.5%
LLME Score: 0.15665
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CapybaraHermes 2.5 Mistral 7B (argilla/CapybaraHermes-2.5-Mistral-7B)
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CapybaraHermes 2.5 Mistral 7B Parameters and Internals

LLM NameCapybaraHermes 2.5 Mistral 7B
Repository 🤗https://huggingface.co/argilla/CapybaraHermes-2.5-Mistral-7B 
Base Model(s)  teknium/OpenHermes-2.5-Mistral-7B   teknium/OpenHermes-2.5-Mistral-7B
Model Size7b
Required VRAM14.4 GB
Updated2025-09-23
Maintainerargilla
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32002
Torch Data Typefloat16

Quantized Models of the CapybaraHermes 2.5 Mistral 7B

Model
Likes
Downloads
VRAM
...baraHermes 2.5 Mistral 7B GPTQ592074 GB
...ybaraHermes 2.5 Mistral 7B AWQ23724 GB

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Astral 256K 7B250K / 14.4 GB50
Note: green Score (e.g. "73.2") means that the model is better than argilla/CapybaraHermes-2.5-Mistral-7B.

Rank the CapybaraHermes 2.5 Mistral 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241124
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