RetrievalLLM Preview by Surromind

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RetrievalLLM Preview is an open-source language model by Surromind. Features: 14b LLM, VRAM: 29.7GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.19.

Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-14b Dataset:carrotai/ko-instructio... Dataset:heegyu/cot-collection-...   Dataset:kyujinpy/kocot 2000 Dataset:markrai/kocommercial-d...   Instruct   Ko   Ko-llm   Qa   Rag   Region:us   Safetensors   Sharded   Tensorflow

RetrievalLLM Preview Benchmarks

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

RetrievalLLM Preview Parameters and Internals

LLM NameRetrievalLLM Preview
Repository 🤗https://huggingface.co/Surromind/RetrievalLLM-preview 
Base Model(s)  Qwen/Qwen2.5-14B   Qwen/Qwen2.5-14B
Model Size14b
Required VRAM29.7 GB
Updated2026-04-22
MaintainerSurromind
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.7 GB: 6-of-6
Supported Languagesko
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.45.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Surromind/RetrievalLLM-preview.

Rank the RetrievalLLM Preview 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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Release v20260328a