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Hermes Instruct 7B 100K by lodrick-the-lafted

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  Autotrain compatible   Conversational Dataset:lodrick-the-lafted/her...   Endpoints compatible   Instruct   Mistral   Model-index   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/lodrick-the-lafted/Hermes-Instruct-7B-100K 

Hermes Instruct 7B 100K Benchmarks

ARC: 61.52 vs 96.7 (so35)-36.4%
HellaSwag: 82.84 vs 95.3 (gpt4)-13.1%
MMLU: 60.95 vs 88.3 (so35)-31%
TruthfulQA: 63.62 vs 59 (gpt4)7.8%
WinoGrande: 76.87 vs 87.5 (gpt4)-12.1%
GSM8K: 43.97 vs 96.4 (so35)-54.4%
LLME Score: 0.15475
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Hermes Instruct 7B 100K (lodrick-the-lafted/Hermes-Instruct-7B-100K)
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Hermes Instruct 7B 100K Parameters and Internals

Model Type 
text generation
Input Output 
Input Format:
Both the default Mistral-Instruct tags and Alpaca are fine. Use: ~~[INST] {sys_prompt} {instruction} [/INST] or {sys_prompt} ### Instruction: {instruction} ### Response:
Accepted Modalities:
text
Release Notes 
Version:
0.2
Notes:
Trained with 100K rows of teksium/openhermes, in Alpaca format.
LLM NameHermes Instruct 7B 100K
Repository 🤗https://huggingface.co/lodrick-the-lafted/Hermes-Instruct-7B-100K 
Model Size7b
Required VRAM14.4 GB
Updated2025-09-15
Maintainerlodrick-the-lafted
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than lodrick-the-lafted/Hermes-Instruct-7B-100K.

Rank the Hermes Instruct 7B 100K 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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