Mergekit Ties Qgcitfu by Hjgugugjhuhjggg

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Mergekit Ties Qgcitfu is an open-source language model by Hjgugugjhuhjggg. Features: 3b LLM, VRAM: 7.2GB, Context: 128K, Instruction-Based, Merged, LLM Explorer Score: 0.16.

  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:brainwave-ml/llama3... Base model:ck0607/llama3.2-3b-... Base model:disi-unibo-nlp/llam... Base model:huihui-ai/llama-3.2... Base model:isotonic/reasoning-... Base model:troydoesai/blackshe... Base model:valiantlabs/llama3....   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow

Mergekit Ties Qgcitfu Benchmarks

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

Mergekit Ties Qgcitfu Parameters and Internals

LLM NameMergekit Ties Qgcitfu
Repository 🤗https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-qgcitfu 
Base Model(s)  Isotonic/reasoning-llama3.2-3b   huihui-ai/Llama-3.2-3B-Instruct-abliterated   ValiantLabs/Llama3.2-3B-ShiningValiant2   BrainWave-ML/llama3.2-3B-codemath-orpo   disi-unibo-nlp/llama3.2-3B-SFT-medqa-triples-cot   TroyDoesAI/BlackSheep-Llama3.2-3B-Context_Obedient   CK0607/llama3.2-3B-CodeP   Isotonic/reasoning-llama3.2-3b   huihui-ai/Llama-3.2-3B-Instruct-abliterated   ValiantLabs/Llama3.2-3B-ShiningValiant2   BrainWave-ML/llama3.2-3B-codemath-orpo   disi-unibo-nlp/llama3.2-3B-SFT-medqa-triples-cot   TroyDoesAI/BlackSheep-Llama3.2-3B-Context_Obedient   CK0607/llama3.2-3B-CodeP
Merged ModelYes
Model Size3b
Required VRAM7.2 GB
Updated2025-09-21
MaintainerHjgugugjhuhjggg
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.2 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.46.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Hjgugugjhuhjggg/mergekit-ties-qgcitfu.

Rank the Mergekit Ties Qgcitfu 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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Release v20260328a