OpenELM 450M Instruct Databaes SFT DPO 4bitquantized by tugbatumer

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OpenELM 450M Instruct Databaes SFT DPO 4bitquantized is an open-source language model by tugbatumer. Features: 450m LLM, VRAM: 0.3GB, Instruction-Based, LLM Explorer Score: 0.14.

  Arxiv:1910.09700   4-bit   Custom code   Gptq   Instruct   Openelm   Region:us   Safetensors

OpenELM 450M Instruct Databaes SFT DPO 4bitquantized Benchmarks

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

OpenELM 450M Instruct Databaes SFT DPO 4bitquantized Parameters and Internals

LLM NameOpenELM 450M Instruct Databaes SFT DPO 4bitquantized
Repository 🤗https://huggingface.co/tugbatumer/OpenELM-450M-Instruct-databaes-SFT-DPO-4bitquantized 
Model Size450m
Required VRAM0.3 GB
Updated2026-05-20
Maintainertugbatumer
Model Typeopenelm
Instruction-BasedYes
Model Files  0.3 GB
Model ArchitectureOpenELMForCausalLM
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to OpenELM 450M Instruct Databaes SFT DPO 4bitquantized

Best Alternatives
Context / RAM
Downloads
Likes
OpenELM 450M Instruct0K / 0.9 GB107551
...450M Instruct Databaes SFT DPO0K / 0.9 GB50
DPO Reference Model0K / 1.8 GB80
Note: green Score (e.g. "73.2") means that the model is better than tugbatumer/OpenELM-450M-Instruct-databaes-SFT-DPO-4bitquantized.

Rank the OpenELM 450M Instruct Databaes SFT DPO 4bitquantized 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