LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Echidna Tiefigther 25 by Henk717

 »  All LLMs  »  Henk717  »  Echidna Tiefigther 25   URL Share it on

  10   
  Autotrain compatible   Endpoints compatible   Fp16   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Henk717/echidna-tiefigther-25 

Echidna Tiefigther 25 Benchmarks

LLME Score: 0.12042
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Echidna Tiefigther 25 (Henk717/echidna-tiefigther-25)
🌟 Advertise your project 🚀

Echidna Tiefigther 25 Parameters and Internals

Additional Notes 
This is a merged model consisting of several base models with specified weights for each.
LLM NameEchidna Tiefigther 25
Repository 🤗https://huggingface.co/Henk717/echidna-tiefigther-25 
Model Size13b
Required VRAM26 GB
Updated2025-08-21
MaintainerHenk717
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.2 GB: 3-of-3
Quantization Typefp16
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Echidna Tiefigther 25

Model
Likes
Downloads
VRAM
Echidna Tiefigther 25 GGUF54875 GB
Echidna Tiefigther 25 AWQ177 GB

Best Alternatives to Echidna Tiefigther 25

Best Alternatives
Context / RAM
Downloads
Likes
Llama13b 32K Illumeet Finetune32K / 26 GB50
...Maid V3 13B 32K 6.0bpw H6 EXL232K / 10 GB51
...Maid V3 13B 32K 8.0bpw H8 EXL232K / 13.2 GB51
WhiteRabbitNeo 13B V116K / 26 GB2754427
CodeLlama 13B Python Fp1616K / 26 GB309525
CodeLlama 13B Instruct Fp1616K / 26 GB310028
...Llama 13B Instruct Hf 4bit MLX16K / 7.8 GB12382
CodeLlama 13B Fp1616K / 26 GB1166
Airophin 13B Pntk 16K Fp1616K / 26 GB17314
Codellama 13B Bnb 4bit16K / 7.2 GB935
Note: green Score (e.g. "73.2") means that the model is better than Henk717/echidna-tiefigther-25.

Rank the Echidna Tiefigther 25 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  

What open-source LLMs or SLMs are you in search of? 50804 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
  Support LLM Explorer