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Ultra Llm Merged by yrju

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Ultra Llm Merged is an open-source language model by yrju. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Instruction-Based, Code Generating, Merged, LLM Explorer Score: 0.15.

  Merged Model   Arxiv:2306.01708 Base model:codellama/codellama... Base model:mistralai/mistral-7... Base model:wizardlmteam/wizard...   Codegen   En   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/yrju/ultra_llm_merged 

Ultra Llm Merged Benchmarks

LLME Score: 0.14567
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ultra Llm Merged (yrju/ultra_llm_merged)
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Ultra Llm Merged Parameters and Internals

Model Type 
Merged
Additional Notes 
The model is a merge of pre-trained language models using the MergeKit tool, specifically employing the TIES merge method.
Supported Languages 
en (High)
LLM NameUltra Llm Merged
Repository 🤗https://huggingface.co/yrju/ultra_llm_merged 
Base Model(s)  mistralai/Mistral-7B-v0.1   WizardLM/WizardMath-7B-V1.1   CodeLlama 7B Instruct Hf   mistralai/Mistral-7B-v0.1   WizardLM/WizardMath-7B-V1.1   codellama/CodeLlama-7b-Instruct-hf
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2026-03-14
Maintaineryrju
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   4.9 GB: 2-of-3   4.7 GB: 3-of-3
Supported Languagesen
Generates CodeYes
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Context / RAM
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SpydazWeb AI HumanAI RP512K / 14.4 GB91
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Mistral 7B Merged32K / 14.5 GB60
Jett W26 Abliterated32K / 14.4 GB31
...Mistral 7B Instruct V0.2 Slerp32K / 14.5 GB11
Damysus Coder V0.132K / 14.4 GB60
Note: green Score (e.g. "73.2") means that the model is better than yrju/ultra_llm_merged.

Rank the Ultra Llm Merged 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  

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