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Bagel 7B V0.1 by jondurbin

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Bagel 7B V0.1 Benchmarks

ARC: 63.91-33.6%
HellaSwag: 83.14-12.8%
MMLU: 64.56-25.4%
TruthfulQA: 52.65-10.8%
WinoGrande: 80.58-7.9%
GSM8K: 48.07-47.8%
nn.n% — How the model compares to the GPT-4.

Bagel 7B V0.1 Parameters and Internals

LLM NameBagel 7B V0.1
RepositoryOpen on 🤗 
Model Size7b
Required VRAM14.4 GB
Updated2024-07-27
Maintainerjondurbin
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
Bagel 7B V0.1 (jondurbin/bagel-7b-v0.1)

Quantized Models of the Bagel 7B V0.1

Model
Likes
Downloads
VRAM
Bagel 7B V0.1 GGUF24573 GB
Bagel 7B V0.1 AWQ094 GB
Bagel 7B V0.1 GPTQ084 GB

Best Alternatives to Bagel 7B V0.1

Best Alternatives
HF Rank
Context/RAM
Downloads
Likes
MegaBeam Mistral 7B 300K0.3282K / 14.4 GB205715
Hebrew Mistral 7B 200K0.3256K / 30 GB209115
Astral 256K 7B V20.2250K / 14.4 GB2470
Astral 256K 7B0.2250K / 14.4 GB2330
Buddhi 128K Chat 7B0.3128K / 14.4 GB61214
LuminRP 7B 128K V0.20.3128K / 14.4 GB2610
...1 Summarize 64K LoRANET Merged0.2128K / 14.4 GB2360
... Summarize 64K QLoRANET Merged0.2128K / 4.1 GB80
LuminRP 7B 128K V0.50.2128K / 14.5 GB91
LuminRP 7B 128K V0.40.2128K / 14.4 GB121
Note: green Score (e.g. "73.2") means that the model is better than jondurbin/bagel-7b-v0.1.

Rank the Bagel 7B 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 v2024072501
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