Jamba 900M Doc Writer by BEE-spoke-data

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  16384   Autotrain compatible Base model:finetune:pszemraj/j... Base model:pszemraj/jamba-900m...   En   Jamba   Long document   Region:us   Safetensors   Textbook

Jamba 900M Doc Writer Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Jamba 900M Doc Writer (BEE-spoke-data/Jamba-900M-doc-writer)

Jamba 900M Doc Writer Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Primary Use Cases:
Long context generation
Limitations:
It requires a rather long prompt to produce consistent outputs, Limited reasoning and knowledge due to model size
Additional Notes 
Uses about 2.5 GB VRAM for 12,288 tokens.
Supported Languages 
en (Unknown)
Training Details 
Data Volume:
4940890112 tokens
Context Length:
16384
Model Architecture:
Jamba
Input Output 
Accepted Modalities:
text
LLM NameJamba 900M Doc Writer
Repository ๐Ÿค—https://huggingface.co/BEE-spoke-data/Jamba-900M-doc-writer 
Base Model(s)  pszemraj/jamba-900M-v0.13-KIx2   pszemraj/jamba-900M-v0.13-KIx2
Model Size900m
Required VRAM1.8 GB
Updated2025-02-22
MaintainerBEE-spoke-data
Model Typejamba
Model Files  1.8 GB
Supported Languagesen
Model ArchitectureJambaForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.41.0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size65024
Torch Data Typebfloat16

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Jamba 900M V0.13 KIx216K / 1.8 GB164

Rank the Jamba 900M Doc Writer 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227