Bagel 8B V1.0 By jondurbin: Benchmarks, Features and Detailed Analysis. Insights on Bagel 8B V1.0.

Autotrain compatible Bagel Base model:finetune:meta-llama... Base model:meta-llama/meta-lla... Conversational Dataset:ai2 arc Dataset:allenai/ultrafeedback ... Dataset:argilla/distilabel-int... Dataset:b-mc2/sql-create-conte... Dataset:bluemoon-fandom-1-1-rp... Dataset:boolq Dataset:cakiki/rosetta-code Dataset:camel-ai/biology Dataset:camel-ai/chemistry Dataset:camel-ai/math Dataset:camel-ai/physics Dataset:codeparrot/apps Dataset:facebook/belebele Dataset:glaiveai/glaive-functi... Dataset:grimulkan/limarp-augme... Dataset:jondurbin/airoboros-3.... Dataset:jondurbin/cinematika-v... Dataset:jondurbin/contextual-d... Dataset:jondurbin/gutenberg-dp... Dataset:jondurbin/py-dpo-v0.1 Dataset:jondurbin/truthy-dpo-v... Dataset:kingbri/pippa-sharegpt Dataset:ldjnr/capybara Dataset:lmsys/lmsys-chat-1m Dataset:mattpscott/airoboros-s... Dataset:migtissera/synthia-v1.... Dataset:muennighoff/natural-in... Dataset:open-orca/slimorca Dataset:openbookqa Dataset:parisneo/lollms aware ... Dataset:piqa Dataset:ropes Dataset:squad v2 Dataset:tiger-lab/mathinstruct Dataset:unalignment/toxic-dpo-... Dataset:vezora/tested-22k-pyth... Dataset:whiterabbitneo/wrn-cha... Dataset:whiterabbitneo/wrn-cha... Dataset:winogrande Dataset:wizardlm/wizardlm evol... Endpoints compatible Instruct Llama Llama-3 Region:us Safetensors Sharded Tensorflow

Bagel 8B V1.0 Benchmarks

ARC: 65.44 vs 96.7 (so35)^-32.3%

HellaSwag: 82.37 vs 95.3 (gpt4)^-13.6%

MMLU: 67.81 vs 88.3 (so35)^-23.2%

TruthfulQA: 54.43 vs 59 (gpt4)^-7.7%

WinoGrande: 79.01 vs 87.5 (gpt4)^-9.7%

GSM8K: 58 vs 96.4 (so35)^-39.8%

LLME Score: 0.2705

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

What is the LLM Explorer Rank (Score)

Bagel 8B V1.0 Parameters and Internals

LLM Name	Bagel 8B V1.0
Repository 🤗	https://huggingface.co/jondurbin/bagel-8b-v1.0
Base Model(s)	Meta Llama 3 8B meta-llama/Meta-Llama-3-8B
Model Size	8b
Required VRAM	16.1 GB
Updated	2024-10-18
Maintainer	jondurbin
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Model Architecture	LlamaForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Quantized Models of the Bagel 8B V1.0

Model	Likes	Downloads	VRAM
Bagel 8B V1.0 AWQ	0	11	5 GB

Best Alternatives to Bagel 8B V1.0

Best Alternatives	Context / RAM	Downloads	Likes
...a 3 8B Instruct Gradient 1048K	1024K / 16.1 GB	7474	667
L3.1 Gradient	1024K / 16.1 GB	5	0
...SLERP Gradient1048k OpenBioLLM	1024K / 16.1 GB	21	0
Llama3 8B Special Dark V3.1.2B	1024K / 16.1 GB	6	0
Loki	1024K / 16.1 GB	5	0
...lama3 8B Special Dark V3.1.2aa	1024K / 16.1 GB	5	0
...lama3 8B Special Dark V3.1.1yy	1024K / 16.1 GB	5	0
Unholy Thoth 8B V2	1024K / 16.1 GB	5	0
...struct Gradient 1048K MAC Lora	1024K / 5.9 GB	4	2
... Instruct Gradient 1048K Agent	1024K / 16.1 GB	124	1

Note: green Score (e.g. "73.2") means that the model is better than jondurbin/bagel-8b-v1.0.

Rank the Bagel 8B V1.0 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 v2024072803

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