Zamba 7B V1 Phase1 by Zyphra

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  Arxiv:2405.16712   Autotrain compatible   Endpoints compatible   Region:us   Safetensors   Sharded   Tensorflow   Zamba

Zamba 7B V1 Phase1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zamba 7B V1 Phase1 (Zyphra/Zamba-7B-v1-phase1)

Zamba 7B V1 Phase1 Parameters and Internals

Model Type 
Hybrid, State-Space Model, Transformer
Use Cases 
Primary Use Cases:
Comparison tool to explore effects of annealing process
Limitations:
Not fine-tuned for chat, No moderation mechanism
Additional Notes 
The Huggingface implementation performs slower than the internal implementation. A fix is being worked on with the Huggingface team.
Training Details 
Data Sources:
open web-datasets
Data Volume:
1T tokens
Methodology:
Next-token prediction with a hybrid architecture combining state-space model and transformers
Model Architecture:
Hybrid SSM architecture with Mamba layers and shared attention layer every 6 blocks
LLM NameZamba 7B V1 Phase1
Repository ๐Ÿค—https://huggingface.co/Zyphra/Zamba-7B-v1-phase1 
Model Size7b
Required VRAM14.5 GB
Updated2024-12-22
MaintainerZyphra
Model Typezamba
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.6 GB: 3-of-3
Model ArchitectureZambaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.45.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Zyphra/Zamba-7B-v1-phase1.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217