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LFM2.5 1.2B Instruct Korean by sh-024

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LFM2.5 1.2B Instruct Korean is an open-source language model by sh-024. Features: 1.2b LLM, VRAM: 2.3GB, Context: 125K, License: other, Instruction-Based, LLM Explorer Score: 0.24.

Base model:finetune:liquidai/l... Base model:liquidai/lfm2.5-1.2...   Conversational Dataset:carrotai/ko-instructio... Dataset:markrai/kocommercial-d...   Dataset:maywell/kovast   Endpoints compatible   Instruct   Instruction-tuned   Ko   Korean   Lfm2   Lfm2.5   Region:us   Safetensors   Unsloth
Model Card on HF 🤗: https://huggingface.co/sh-024/LFM2.5-1.2B-Instruct-Korean 

LFM2.5 1.2B Instruct Korean Benchmarks

LLME Score: 0.23588
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LFM2.5 1.2B Instruct Korean (sh-024/LFM2.5-1.2B-Instruct-Korean)
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LFM2.5 1.2B Instruct Korean Parameters and Internals

LLM NameLFM2.5 1.2B Instruct Korean
Repository 🤗https://huggingface.co/sh-024/LFM2.5-1.2B-Instruct-Korean 
Base Model(s)  LiquidAI/LFM2.5-1.2B-Instruct   LiquidAI/LFM2.5-1.2B-Instruct
Model Size1.2b
Required VRAM2.3 GB
Updated2026-07-02
Maintainersh-024
Model Typelfm2
Instruction-BasedYes
Model Files  2.3 GB
Supported Languagesko
Model ArchitectureLfm2ForCausalLM
Licenseother
Context Length128000
Model Max Length128000
Transformers Version5.2.0
Tokenizer ClassTokenizersBackend
Padding Token<|pad|>
Vocabulary Size65536

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LFM2.5 1.2B Instruct125K / 2.3 GB453663591
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LFM2.5 1.2B Instruct125K / 2.3 GB179048
...1.2B Noval Instruct Paramdelta125K / 2.3 GB120
...B SFT Claude Reasoning Unsloth125K / 2.3 GB4920
... Claude Opus Reasoning Unsloth125K / 2.3 GB170
... Function Calling XLAM Unsloth125K / 2.3 GB50
...M2.5 1.2B Instruct Abliterated125K / 2.3 GB240
LFM2.5 1.2B Instruct Bf16125K / 2.3 GB602
ConstructionSafetyQA 1.2B V132K / 2.3 GB27
Note: green Score (e.g. "73.2") means that the model is better than sh-024/LFM2.5-1.2B-Instruct-Korean.

Rank the LFM2.5 1.2B Instruct Korean 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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