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UNA 34Beagles 32K Bf16 V1 GPTQ by MaziyarPanahi

 »  All LLMs  »  MaziyarPanahi  »  UNA 34Beagles 32K Bf16 V1 GPTQ   URL Share it on

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  4-bit   Autotrain compatible Base model:finetune:one-man-ar... Base model:one-man-army/una-34...   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: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...   Endpoints compatible   Finetuned   Gptq   Has space   Llama   Model-index   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/UNA-34Beagles-32K-bf16-v1-GPTQ 

UNA 34Beagles 32K Bf16 V1 GPTQ Benchmarks

ARC: 26.11 vs 96.7 (so35)-73%
HellaSwag: 26.29 vs 95.3 (gpt4)-72.4%
MMLU: 24.43 vs 88.3 (so35)-72.3%
TruthfulQA: 47.27 vs 59 (gpt4)-19.9%
WinoGrande: 50.83 vs 87.5 (gpt4)-41.9%
LLME Score: 0.18024
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
UNA 34Beagles 32K Bf16 V1 GPTQ (MaziyarPanahi/UNA-34Beagles-32K-bf16-v1-GPTQ)
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UNA 34Beagles 32K Bf16 V1 GPTQ Parameters and Internals

Model Type 
text-generation
Additional Notes 
UNA-34Beagles-32K-bf16-v1-GPTQ is a quantized (GPTQ) model suitable for text generation tasks.
LLM NameUNA 34Beagles 32K Bf16 V1 GPTQ
Repository 🤗https://huggingface.co/MaziyarPanahi/UNA-34Beagles-32K-bf16-v1-GPTQ 
Model NameUNA-34Beagles-32K-bf16-v1-GPTQ
Model Creatorone-man-army
Base Model(s)  UNA 34Beagles 32K Bf16 V1   one-man-army/UNA-34Beagles-32K-bf16-v1
Model Size5.4b
Required VRAM19.2 GB
Updated2025-09-23
MaintainerMaziyarPanahi
Model Typellama
Model Files  19.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size64000
Torch Data Typefloat16

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Rank the UNA 34Beagles 32K Bf16 V1 GPTQ 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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