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Bagel 7B V0.1 AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:jondurbin/bagel-7b-... Base model:quantized:jondurbin...   Conversational   Dataset:ai2 arc   Dataset:boolq   Dataset:cais/mmlu   Dataset:cakiki/rosetta-code   Dataset:codeparrot/apps   Dataset:datasets/winogrande   Dataset:drop   Dataset:facebook/belebele Dataset:jondurbin/cinematika-v...   Dataset:lmsys/lmsys-chat-1m Dataset:migtissera/synthia-v1.... Dataset:muennighoff/natural-in...   Dataset:open-orca/slimorca   Dataset:openbookqa   Dataset:piqa   Dataset:spider   Dataset:squad v2   Dataset:tiger-lab/mathinstruct   Dataset:unalignment/spicy-3.1 Dataset:vezora/tested-22k-pyth...   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/bagel-7B-v0.1-AWQ 

Bagel 7B V0.1 AWQ Benchmarks

LLME Score: 0.15945
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 AWQ (TheBloke/bagel-7B-v0.1-AWQ)

Bagel 7B V0.1 AWQ Parameters and Internals

Model Type 
mistral
Use Cases 
Applications:
Research, Commercial applications
Additional Notes 
This model supports various quantization and inference mechanisms, including AWQ for low-bit weight quantization. It offers multi-platform support on Linux and Windows.
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
Methodology:
Supervised fine-tuning using a composite dataset of SFT and DPO data, with decontamination by cosine similarity. Different prompt formats were used: Vicuna, Llama-2, Alpaca, and ChatML.
Model Architecture:
Mistral-based architecture
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:
Generated completion text
LLM NameBagel 7B V0.1 AWQ
Repository 🤗https://huggingface.co/TheBloke/bagel-7B-v0.1-AWQ 
Model NameBagel 7B v0.1
Model CreatorJon Durbin
Base Model(s)  jondurbin/bagel-7b-v0.1   jondurbin/bagel-7b-v0.1
Model Size7b
Required VRAM4.2 GB
Updated2024-12-22
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

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

Rank the Bagel 7B V0.1 AWQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Release v20241217
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