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Hippo 6B by Drenel

 »  All LLMs  »  Drenel  »  Hippo 6B   URL Share it on

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  Autotrain compatible   Base model:drenel/hippo-6b Base model:finetune:drenel/hip...   Conversational   Custom code   Drenel   Drenel/hippo-6b   Endpoints compatible   Hippo   Llama   Multilingual   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Drenel/Hippo-6B 

Hippo 6B Benchmarks

LLME Score: 0.19171
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Hippo 6B (Drenel/Hippo-6B)

Hippo 6B Parameters and Internals

Model Type 
text generation, multi-lingual
Use Cases 
Areas:
Research, Commercial Applications
Applications:
Text Generation, Language Translation, Sentiment Analysis, Named Entity Recognition, Text Classification
Primary Use Cases:
NLP Tasks
Training Details 
Methodology:
The model incorporates features like Flash Attention, RMS Norm, and Rotary Embeddings to enhance training efficiency and performance.
Context Length:
4096
Model Architecture:
Transformer-based architecture utilizing efficient attention mechanisms like Flash Attention and modular attention classes.
Input Output 
Input Format:
<|user|>\nQuestion<|end|>\n<|assistant|>
Output Format:
Generated text
LLM NameHippo 6B
Repository 🤗https://huggingface.co/Drenel/Hippo-6B 
Base Model(s)  Hippo 6B   Hippo 6B   Drenel/Hippo-6B   Drenel/Hippo-6B
Model Size6b
Required VRAM12.4 GB
Updated2025-02-22
MaintainerDrenel
Model Typellama
Model Files  1.9 GB: 1-of-7   2.0 GB: 2-of-7   1.9 GB: 3-of-7   1.9 GB: 4-of-7   1.9 GB: 5-of-7   2.0 GB: 6-of-7   0.8 GB: 7-of-7
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32064
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Drenel/Hippo-6B.

Rank the Hippo 6B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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