BBALAW1.64 by Lawnakk

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  Merged Model   8bit   Autotrain compatible   Base model:lawnakk/bbalaw1.61 Base model:prunaai/pjmixers-de...   Conversational   Endpoints compatible   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/Lawnakk/BBALAW1.64 

BBALAW1.64 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BBALAW1.64 (Lawnakk/BBALAW1.64)
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BBALAW1.64 Parameters and Internals

LLM NameBBALAW1.64
Repository ๐Ÿค—https://huggingface.co/Lawnakk/BBALAW1.64 
Base Model(s)  PrunaAI/PJMixers-Dev-Qwen2.5-RomboTiesTest-7B-bnb-8bit-smashed   Lawnakk/BBALAW1.61   PrunaAI/PJMixers-Dev-Qwen2.5-RomboTiesTest-7B-bnb-8bit-smashed   Lawnakk/BBALAW1.61
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2025-07-02
MaintainerLawnakk
Model Typeqwen2
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   0.3 GB: 4-of-4
Quantization Type8bit
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Qwen2.5 7B Instruct 1M 6bit986K / 6.2 GB392
...still Qwen 7B Unsloth Bnb 4bit128K / 8.5 GB2296720
Gte Qwen2 7B Instruct 4bit DWQ128K / 4.3 GB17893
Mini Pathfinder128K / 15.2 GB160
A1 V002128K / 15.2 GB140
...5 7B Instruct SFT Meme LoRA V7128K / 15.2 GB90
A1 V0.0.1128K / 15.2 GB110
Note: green Score (e.g. "73.2") means that the model is better than Lawnakk/BBALAW1.64.

Rank the BBALAW1.64 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124