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Bagel DPO 7B V0.1 GGUF by TheBloke

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Base model:jondurbin/bagel-dpo... Base model:quantized:jondurbin...   Conversational   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: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:tiger-lab/mathinstruct   Dataset:unalignment/spicy-3.1 Dataset:unalignment/toxic-dpo-... Dataset:vezora/tested-22k-pyth...   Gguf   Mistral   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/bagel-dpo-7B-v0.1-GGUF 

Bagel DPO 7B V0.1 GGUF Benchmarks

LLME Score: 0.15424
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bagel DPO 7B V0.1 GGUF (TheBloke/bagel-dpo-7B-v0.1-GGUF)

Bagel DPO 7B V0.1 GGUF Parameters and Internals

Model Type 
mistral
Additional Notes 
The model uses a mixture of prompt formats (Vicuna, Llama-2, Alpaca, and a variant of ChatML).
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
Methodology:
The model is fine-tuned using a combination of supervised fine-tuning (SFT) and direct preference optimization (DPO) data. Data deduplication and decontamination techniques are applied.
Context Length:
4096
Input Output 
Input Format:
Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:
LLM NameBagel DPO 7B V0.1 GGUF
Repository 🤗https://huggingface.co/TheBloke/bagel-dpo-7B-v0.1-GGUF 
Model NameBagel DPO 7B v0.1
Model CreatorJon Durbin
Base Model(s)  jondurbin/bagel-dpo-7b-v0.1   jondurbin/bagel-dpo-7b-v0.1
Model Size7b
Required VRAM3.1 GB
Updated2025-03-14
MaintainerTheBloke
Model Typemistral
Model Files  3.1 GB   3.8 GB   3.5 GB   3.2 GB   4.1 GB   4.4 GB   4.1 GB   5.0 GB   5.1 GB   5.0 GB   5.9 GB   7.7 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/bagel-dpo-7B-v0.1-GGUF.

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