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Lfm25 1.2B Sft Bigchat by LiberteEPFL

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Lfm25 1.2B Sft Bigchat is an open-source language model by LiberteEPFL. Features: 1.2b LLM, VRAM: 2.3GB, Context: 125K, LLM Explorer Score: 0.28.

Base model:finetune:liquidai/l... Base model:liquidai/lfm2.5-1.2...   Conversational   Endpoints compatible   Generated from trainer   Lfm2   Region:us   Safetensors   Sft   Trl
Model Card on HF 🤗: https://huggingface.co/LiberteEPFL/lfm25-1.2b-sft-bigchat 

Lfm25 1.2B Sft Bigchat Benchmarks

LLME Score: 0.28102
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Lfm25 1.2B Sft Bigchat (LiberteEPFL/lfm25-1.2b-sft-bigchat)
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Lfm25 1.2B Sft Bigchat Parameters and Internals

LLM NameLfm25 1.2B Sft Bigchat
Repository 🤗https://huggingface.co/LiberteEPFL/lfm25-1.2b-sft-bigchat 
Model Namelfm25-1.2b-sft-bigchat
Base Model(s)  LiquidAI/LFM2.5-1.2B-Base   LiquidAI/LFM2.5-1.2B-Base
Model Size1.2b
Required VRAM2.3 GB
Updated2026-05-27
MaintainerLiberteEPFL
Model Typelfm2
Model Files  2.3 GB   0.0 GB
Model ArchitectureLfm2ForCausalLM
Context Length128000
Model Max Length128000
Transformers Version4.57.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|pad|>
Vocabulary Size65536

Best Alternatives to Lfm25 1.2B Sft Bigchat

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LFM2.5 1.2B Instruct125K / 2.3 GB453663591
LFM2.5 1.2B Thinking125K / 2.3 GB33594337
LFM2.5 1.2B Base125K / 2.3 GB22603123
LFM2 1.2B125K / 2.3 GB58765352
LFM2.5 1.2B JP125K / 2.3 GB2774146
Glm5.1 Distill125K / 2.3 GB4834
LFM2.5 1.2B Instruct125K / 2.3 GB123717
Pantheon Ui Onnx125K /  GB10402
LFM2.5 THINKING FINETUNE V7125K / 2.3 GB4830
LFM2.5 THINKING FINETUNE V5125K / 2.3 GB4380
Note: green Score (e.g. "73.2") means that the model is better than LiberteEPFL/lfm25-1.2b-sft-bigchat.

Rank the Lfm25 1.2B Sft Bigchat 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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