LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Bagel DPO 7B V0.1 AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  Bagel DPO 7B V0.1 AWQ   URL Share it on

  88   
  4-bit   Autotrain compatible   Awq 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...   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/bagel-dpo-7B-v0.1-AWQ 

Bagel DPO 7B V0.1 AWQ Benchmarks

LLME Score: 0.14949
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 AWQ (TheBloke/bagel-dpo-7B-v0.1-AWQ)

Bagel DPO 7B V0.1 AWQ Parameters and Internals

Model Type 
mistral
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
Data Volume:
1,671,822 items
Methodology:
Direct Preference Optimization (DPO) and Supervised Fine-Tuning (SFT). Multiple prompt formats were used to increase diversity.
Hardware Used:
NVidia GPUs
Model Architecture:
Based on the Mistral architecture with adapted quantization methodologies like AWQ.
Input Output 
Input Format:
Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:
Accepted Modalities:
text
Output Format:
text
LLM NameBagel DPO 7B V0.1 AWQ
Repository 🤗https://huggingface.co/TheBloke/bagel-dpo-7B-v0.1-AWQ 
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 VRAM4.2 GB
Updated2025-03-14
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to Bagel DPO 7B V0.1 AWQ

Best Alternatives
Context / RAM
Downloads
Likes
Mistral 7B Instruct V0.2 AWQ32K / 4.2 GB70
Mistral 7B Instruct V0.3 AWQ32K / 4.2 GB279793
Mistral 7B Instruct V0.2 AWQ32K / 4.2 GB4482143
Ghost 7B Alpha AWQ32K / 4.2 GB120
Breeze 7B Instruct V1.0 AWQ32K / 4.6 GB110
...reeze 7B 32K Instruct V1.0 AWQ32K / 4.7 GB90
Tess 7B V2.0 AWQ32K / 4.2 GB91
Mahou 1.3a Mistral 7B AWQ32K / 4.2 GB201
Mahou 1.3 Mistral 7B AWQ32K / 4.2 GB140
...Instruct V0.2 AWQ 4bit Smashed32K / 4.2 GB191
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/bagel-dpo-7B-v0.1-AWQ.

Rank the Bagel DPO 7B V0.1 AWQ Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  

What open-source LLMs or SLMs are you in search of? 45019 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
  Support LLM Explorer