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Bagel 7B V0.1 by jondurbin

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Bagel 7B V0.1 Benchmarks

ARC: 63.91 vs 96.7 (so35)-33.9%
HellaSwag: 83.14 vs 95.3 (gpt4)-12.8%
MMLU: 64.56 vs 88.3 (so35)-26.9%
TruthfulQA: 52.65 vs 59 (gpt4)-10.8%
WinoGrande: 80.58 vs 87.5 (gpt4)-7.9%
GSM8K: 48.07 vs 96.4 (so35)-50.1%
LLME Score: 0.21323
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Bagel 7B V0.1 Parameters and Internals

LLM NameBagel 7B V0.1
Repository 🤗https://huggingface.co/jondurbin/bagel-7b-v0.1 
Model Size7b
Required VRAM14.4 GB
Updated2024-09-07
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 GGUF22323 GB
Bagel 7B V0.1 GPTQ0154 GB
Bagel 7B V0.1 AWQ0114 GB

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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  
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Release v2024072803
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