KeyLM 75M Instruct by Eclipse-Senpai

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KeyLM 75M Instruct is an open-source language model by Eclipse-Senpai. Features: 75m LLM, VRAM: 0.2GB, Context: 2K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.34.

Base model:eclipse-senpai/keyl... Base model:finetune:eclipse-se...   Conversational   Custom code   Dataset:allenai/wildchat-1m Dataset:huggingfacefw/fineweb-... Dataset:huggingfacegeclm/reddi... Dataset:huggingfaceh4/ultracha... Dataset:huggingfacetb/cosmoped... Dataset:huggingfacetb/smol-smo... Dataset:huggingfacetb/smoltalk...   Dataset:lmsys/lmsys-chat-1m Dataset:marin-community/stacke...   Dataset:openassistant/oasst2   Dataset:wikimedia/wikipedia   En   Gqa   Instruct   Keylm   Keylm75m   Qk-norm   Region:us   Rope   Safetensors   Small-language-model   Swiglu

KeyLM 75M Instruct Benchmarks

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

KeyLM 75M Instruct Parameters and Internals

LLM NameKeyLM 75M Instruct
Repository 🤗https://huggingface.co/Eclipse-Senpai/KeyLM-75M-Instruct 
Base Model(s)  KeyLM 75M   Eclipse-Senpai/KeyLM-75M
Model Size75m
Required VRAM0.2 GB
Updated2026-05-30
MaintainerEclipse-Senpai
Model Typekeylm75m
Instruction-BasedYes
Model Files  0.2 GB
Supported Languagesen
Model ArchitectureKeyLM75M
Licenseapache-2.0
Context Length2048
Model Max Length2048
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size12020
Torch Data Typebfloat16

Rank the KeyLM 75M Instruct 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