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Gullein by trashpanda-org

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Gullein is an open-source language model by trashpanda-org. Features: 24b LLM, VRAM: 47.3GB, Context: 32K, LLM Explorer Score: 0.19.

  Arxiv:2402.03300   Axolotl Base model:finetune:trashpanda... Base model:trashpanda-org/llam...   Conversational   Endpoints compatible   Generated from trainer   Grpo   Mistral   Region:us   Safetensors   Sharded   Tensorboard   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/trashpanda-org/Gullein 

Gullein Benchmarks

LLME Score: 0.18883
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gullein (trashpanda-org/Gullein)
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Gullein Parameters and Internals

LLM NameGullein
Repository 🤗https://huggingface.co/trashpanda-org/Gullein 
Model NameGullein
Base Model(s)  Llama3 24B Mullein V1   trashpanda-org/Llama3-24B-Mullein-v1
Model Size24b
Required VRAM47.3 GB
Updated2026-04-01
Maintainertrashpanda-org
Model Typemistral
Model Files  4.8 GB: 1-of-10   4.8 GB: 2-of-10   4.8 GB: 3-of-10   4.9 GB: 4-of-10   4.8 GB: 5-of-10   4.8 GB: 6-of-10   4.9 GB: 7-of-10   4.8 GB: 8-of-10   4.8 GB: 9-of-10   3.9 GB: 10-of-10   0.0 GB
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.50.0.dev0
Tokenizer ClassLlamaTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

Best Alternatives to Gullein

Best Alternatives
Context / RAM
Downloads
Likes
...ral Nemo Instruct 24B Merge V11000K / 24.6 GB90
Cydonia 24B V4.3128K / 47.3 GB332187
Cogidonia 24B128K / 95.3 GB1491
Magidonia 24B V4.3128K / 47.3 GB77757
Sketch Cydonia 24B V1.3128K / 47.3 GB422
Sketch Cydonia 24B V1.2128K / 47.3 GB748
Sketch Cydonia128K / 47.3 GB1439
...donia 24B V4.3 Absolute Heresy128K / 47.1 GB23214
Magistaroth 24B V1.1128K / 47.3 GB845
...ine V1.3.0 24B Absolute Heresy128K / 47.1 GB342
Note: green Score (e.g. "73.2") means that the model is better than trashpanda-org/Gullein.

Rank the Gullein 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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