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Harmonia 20B by athirdpath

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  Autotrain compatible   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/athirdpath/Harmonia-20B 

Harmonia 20B Benchmarks

LLME Score: 0.14115
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Harmonia 20B (athirdpath/Harmonia-20B)
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Harmonia 20B Parameters and Internals

Model Type 
Text Generation, Multimodal
Use Cases 
Areas:
Research, Role Playing
Applications:
TaskArithmetic
Primary Use Cases:
High-quality writing, Situational problem-solving
Additional Notes 
The model is a result of merging eight different 20B models for enhanced versatility.
Input Output 
Input Format:
Alpaca prompt template
Accepted Modalities:
text
Output Format:
text
LLM NameHarmonia 20B
Repository 🤗https://huggingface.co/athirdpath/Harmonia-20B 
Model Size20b
Required VRAM39.9 GB
Updated2025-09-03
Maintainerathirdpath
Model Typellama
Model Files  9.9 GB: 1-of-5   10.0 GB: 2-of-5   10.0 GB: 3-of-5   9.9 GB: 4-of-5   0.1 GB: 5-of-5
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Harmonia 20B

Model
Likes
Downloads
VRAM
...a No Robots 20B 3.0bpw H6 EXL2147 GB

Best Alternatives to Harmonia 20B

Best Alternatives
Context / RAM
Downloads
Likes
Internlm2 5 20B Llamafied256K / 39.9 GB10995
Internlm2 20B Llama32K / 39.6 GB166320
Stellaris Internlm2 20B R51232K / 39.8 GB83
Internlm2 Chat 20B Llama Old32K / 39.6 GB133
Internlm2 Base 20B Llama32K / 39.6 GB53
Internlm2 Base 20B Llama32K / 39.6 GB100
Deita 20B32K / 39.8 GB51
Bagel 20B V04 Llama32K / 39.6 GB207
Bagel DPO 20B V04 Llama32K / 39.6 GB153
Internlm2 Limarp Chat 20B32K / 39.6 GB73
Note: green Score (e.g. "73.2") means that the model is better than athirdpath/Harmonia-20B.

Rank the Harmonia 20B 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 v20241124
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