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Bagel 34B V0.2 GGUF by TheBloke

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Base model:jondurbin/bagel-34b... Base model:quantized:jondurbin...   Dataset:ai2 arc Dataset:allenai/ultrafeedback ...   Dataset:boolq   Dataset:cais/mmlu   Dataset:cakiki/rosetta-code   Dataset:codeparrot/apps   Dataset:datasets/winogrande   Dataset:drop   Dataset:facebook/belebele   Dataset:intel/orca dpo pairs Dataset:jondurbin/cinematika-v... Dataset:jondurbin/truthy-dpo-v...   Dataset:julielab/emobank   Dataset:kingbri/pippa-sharegpt   Dataset:ldjnr/capybara   Dataset:lmsys/lmsys-chat-1m Dataset:migtissera/synthia-v1.... Dataset:muennighoff/natural-in...   Dataset:nvidia/helpsteer   Dataset:open-orca/slimorca   Dataset:openbookqa   Dataset:piqa   Dataset:spider   Dataset:squad v2 Dataset:squish42/bluemoon-fand...   Dataset:tiger-lab/mathinstruct   Dataset:unalignment/spicy-3.1 Dataset:unalignment/toxic-dpo-... Dataset:vezora/tested-22k-pyth...   Gguf   Quantized   Region:us   Yi
Model Card on HF 🤗: https://huggingface.co/TheBloke/bagel-34b-v0.2-GGUF 

Bagel 34B V0.2 GGUF Benchmarks

LLME Score: 0.16407
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bagel 34B V0.2 GGUF (TheBloke/bagel-34b-v0.2-GGUF)

Bagel 34B V0.2 GGUF Parameters and Internals

Model Type 
yi
Additional Notes 
Quantized by TheBloke using GGUF format, compatible with llama.cpp from August 27th onwards.
Training Details 
Data Sources:
ai2_arc, unalignment/spicy-3.1, codeparrot/apps, facebook/belebele, boolq, jondurbin/cinematika-v0.1, drop, lmsys/lmsys-chat-1m, TIGER-Lab/MathInstruct, cais/mmlu, Muennighoff/natural-instructions, openbookqa, piqa, Vezora/Tested-22k-Python-Alpaca, cakiki/rosetta-code, Open-Orca/SlimOrca, spider, squad_v2, migtissera/Synthia-v1.3, datasets/winogrande, nvidia/HelpSteer, Intel/orca_dpo_pairs, unalignment/toxic-dpo-v0.1, jondurbin/truthy-dpo-v0.1, allenai/ultrafeedback_binarized_cleaned, Squish42/bluemoon-fandom-1-1-rp-cleaned, LDJnr/Capybara, JULIELab/EmoBank, kingbri/PIPPA-shareGPT
Methodology:
Fine-tuning using multiple prompt formats and dataset subsampling with cosine similarity decontamination.
Input Output 
Input Format:
Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {system_message} {prompt} ### Response:
LLM NameBagel 34B V0.2 GGUF
Repository 🤗https://huggingface.co/TheBloke/bagel-34b-v0.2-GGUF 
Model NameBagel 34B v0.2
Model CreatorJon Durbin
Base Model(s)  jondurbin/bagel-34b-v0.2   jondurbin/bagel-34b-v0.2
Model Size34b
Required VRAM14.6 GB
Updated2025-04-28
MaintainerTheBloke
Model Typeyi
Model Files  14.6 GB   18.1 GB   16.6 GB   15.0 GB   19.5 GB   20.7 GB   19.5 GB   23.7 GB   24.3 GB   23.7 GB   28.2 GB   36.5 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseother

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/bagel-34b-v0.2-GGUF.

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