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Ichigo Llama3.1 S Instruct V0.4 by homebrewltd

 »  All LLMs  »  homebrewltd  »  Ichigo Llama3.1 S Instruct V0.4   URL Share it on

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  Arxiv:2406.16020   Audio-text-to-text Dataset:homebrewltd/instructio...   En   Instruct   Llama   Region:us   Safetensors   Sharded   Sound language model   Tensorflow   Torchtune
Model Card on HF 🤗: https://huggingface.co/homebrewltd/Ichigo-llama3.1-s-instruct-v0.4 

Ichigo Llama3.1 S Instruct V0.4 Benchmarks

LLME Score: 0.22829
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ichigo Llama3.1 S Instruct V0.4 (homebrewltd/Ichigo-llama3.1-s-instruct-v0.4)

Ichigo Llama3.1 S Instruct V0.4 Parameters and Internals

LLM NameIchigo Llama3.1 S Instruct V0.4
Repository 🤗https://huggingface.co/homebrewltd/Ichigo-llama3.1-s-instruct-v0.4 
Model Size8b
Required VRAM16.1 GB
Updated2025-03-27
Maintainerhomebrewltd
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128771
Torch Data Typebfloat16

Best Alternatives to Ichigo Llama3.1 S Instruct V0.4

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Context / RAM
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Likes
...otron 8B UltraLong 4M Instruct4192K / 32.1 GB3482107
UltraLong Thinking4192K / 16.1 GB3122
...a 3.1 8B UltraLong 4M Instruct4192K / 32.1 GB17624
...a 3.1 8B UltraLong 2M Instruct2096K / 32.1 GB8759
...otron 8B UltraLong 2M Instruct2096K / 32.1 GB41815
Zero Llama 3.1 8B Beta61048K / 16.1 GB7301
...otron 8B UltraLong 1M Instruct1048K / 32.1 GB179443
...a 3.1 8B UltraLong 1M Instruct1048K / 32.1 GB138729
...dger Nu Llama 3.1 8B UltraLong1048K / 16.2 GB573
....1 1million Ctx Dark Planet 8B1048K / 32.3 GB932
Note: green Score (e.g. "73.2") means that the model is better than homebrewltd/Ichigo-llama3.1-s-instruct-v0.4.

Rank the Ichigo Llama3.1 S Instruct V0.4 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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