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Shisa Jamba V1 Checkpoint 4228 by shisa-ai

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Shisa Jamba V1 Checkpoint 4228 is an open-source language model by shisa-ai. Features: LLM, VRAM: 103.4GB, License: apache-2.0, LLM Explorer Score: 0.13.

  Axolotl   Conversational   Custom code Dataset:augmxnt/ultra-orca-bor...   En   Endpoints compatible   Ja   Jamba   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/shisa-ai/shisa-jamba-v1-checkpoint-4228 

Shisa Jamba V1 Checkpoint 4228 Benchmarks

LLME Score: 0.12741
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Shisa Jamba V1 Checkpoint 4228 (shisa-ai/shisa-jamba-v1-checkpoint-4228)
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Shisa Jamba V1 Checkpoint 4228 Parameters and Internals

Model Type 
Multilingual Chat
Additional Notes 
Initial attempts were unsuccessful but provided valuable practice.
Supported Languages 
ja (Japanese), en (English)
Training Details 
Data Sources:
augmxnt/ultra-orca-boros-en-ja-v1
Methodology:
Bilingual tuning
LLM NameShisa Jamba V1 Checkpoint 4228
Repository 🤗https://huggingface.co/shisa-ai/shisa-jamba-v1-checkpoint-4228 
Required VRAM103.4 GB
Updated2025-12-26
Maintainershisa-ai
Model Typejamba
Model Files  5.0 GB: 1-of-21   4.9 GB: 2-of-21   5.0 GB: 3-of-21   5.0 GB: 4-of-21   5.0 GB: 5-of-21   4.9 GB: 6-of-21   4.9 GB: 7-of-21   5.0 GB: 8-of-21   4.9 GB: 9-of-21   4.9 GB: 10-of-21   4.9 GB: 11-of-21   4.9 GB: 12-of-21   4.9 GB: 13-of-21   5.0 GB: 14-of-21   4.9 GB: 15-of-21   4.9 GB: 16-of-21   4.9 GB: 17-of-21   4.9 GB: 18-of-21   5.0 GB: 19-of-21   4.9 GB: 20-of-21   4.7 GB: 21-of-21
Supported Languagesja en
Model ArchitectureJambaForCausalLM
Licenseapache-2.0
Transformers Version4.40.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<|pad|>
Vocabulary Size65536
Torch Data Typebfloat16

Best Alternatives to Shisa Jamba V1 Checkpoint 4228

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Jamba V0.1256K / 103.4 GB21731190
Note: green Score (e.g. "73.2") means that the model is better than shisa-ai/shisa-jamba-v1-checkpoint-4228.

Rank the Shisa Jamba V1 Checkpoint 4228 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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