Jambalpaca V0.1 by mlabonne

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  4-bit   Adapter Base model:adapter:ai21labs/ja...   Base model:ai21labs/jamba-v0.1   Bitsandbytes   Custom code   Finetuned   Generated from trainer   Jamba   Lora   Peft   Region:us   Safetensors   Sharded   Tensorflow

Jambalpaca V0.1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Jambalpaca V0.1 (mlabonne/Jambalpaca-v0.1)

Jambalpaca V0.1 Parameters and Internals

Training Details 
Context Length:
4096
LLM NameJambalpaca V0.1
Repository ๐Ÿค—https://huggingface.co/mlabonne/Jambalpaca-v0.1 
Base Model(s)  ai21labs/Jamba-v0.1   ai21labs/Jamba-v0.1
Model Size51.6b
Required VRAM103.4 GB
Updated2025-02-14
Maintainermlabonne
Model Files  1.1 GB   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   0.5 GB   0.0 GB   0.0 GB
Model ArchitectureAdapter
Licenseapache-2.0
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<|pad|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesdt_proj|router|v_proj|k_proj|gate_proj|o_proj|in_proj|out_proj|up_proj|down_proj|q_proj|x_proj
LoRA Alpha64
LoRA Dropout0.05
R Param32

Rank the Jambalpaca V0.1 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