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Jallabi 40B by allknowingroger

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Jallabi 40B is an open-source language model by allknowingroger. Features: 34b LLM, VRAM: 160.8GB, Context: 4K, License: apache-2.0, Merged, LLM Explorer Score: 0.15.

  Merged Model   Autotrain compatible Base model:abacusresearch/jall... Base model:finetune:abacusrese...   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/allknowingroger/Jallabi-40B 

Jallabi 40B Benchmarks

LLME Score: 0.15453
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Jallabi 40B (allknowingroger/Jallabi-40B)
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Jallabi 40B Parameters and Internals

Additional Notes 
This model is created by merging pre-trained language models using mergekit.
Training Details 
Methodology:
The model was created using the passthrough merge method.
LLM NameJallabi 40B
Repository 🤗https://huggingface.co/allknowingroger/Jallabi-40B 
Base Model(s)  Jallabi 34B   AbacusResearch/Jallabi-34B
Merged ModelYes
Model Size34b
Required VRAM160.8 GB
Updated2025-09-22
Maintainerallknowingroger
Model Typellama
Model Files  4.8 GB: 1-of-36   4.5 GB: 2-of-36   4.5 GB: 3-of-36   4.5 GB: 4-of-36   4.5 GB: 5-of-36   4.5 GB: 6-of-36   4.5 GB: 7-of-36   4.5 GB: 8-of-36   4.5 GB: 9-of-36   4.5 GB: 10-of-36   4.5 GB: 11-of-36   4.5 GB: 12-of-36   4.8 GB: 13-of-36   4.9 GB: 14-of-36   4.7 GB: 15-of-36   4.5 GB: 16-of-36   4.5 GB: 17-of-36   4.5 GB: 18-of-36   4.5 GB: 19-of-36   4.5 GB: 20-of-36   4.5 GB: 21-of-36   4.5 GB: 22-of-36   4.6 GB: 23-of-36   4.5 GB: 24-of-36   4.5 GB: 25-of-36   4.5 GB: 26-of-36   4.5 GB: 27-of-36   4.5 GB: 28-of-36   4.5 GB: 29-of-36   4.5 GB: 30-of-36   4.5 GB: 31-of-36   4.9 GB: 32-of-36   4.5 GB: 33-of-36   4.6 GB: 34-of-36   4.5 GB: 35-of-36   1.5 GB: 36-of-36
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.44.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than allknowingroger/Jallabi-40B.

Rank the Jallabi 40B 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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