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Xglm 1.7B by facebook

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Xglm 1.7B is an open-source language model by facebook. Features: 1.7b LLM, VRAM: 3.5GB, Context: 2K, License: mit, HF Score: 31.4, LLM Explorer Score: 0.06, Arc: 25.9, HellaSwag: 45.7, MMLU: 25.1, TruthfulQA: 37.2, WinoGrande: 53.9, GSM8K: 0.8.

  Arxiv:2112.10668   Ar   Bg   Bn   Ca   De   Deploy:azure   El   En   Es   Et   Eu   Fi   Fr   Hi   Ht   Id   It   Ja   Ko   Multilingual   My   Pt   Pytorch   Qu   Region:us   Ru   Sw   Ta   Te   Tf   Th   Tr   Ur   Vi   Xglm   Zh
Model Card on HF 🤗: https://huggingface.co/facebook/xglm-1.7B 

Xglm 1.7B Benchmarks

ARC: 25.85 vs 96.7 (so35)-73.3%
HellaSwag: 45.68 vs 95.3 (gpt4)-52.1%
MMLU: 25.1 vs 88.3 (so35)-71.6%
TruthfulQA: 37.21 vs 59 (gpt4)-36.9%
WinoGrande: 53.91 vs 87.5 (gpt4)-38.4%
GSM8K: 0.76 vs 96.4 (so35)-99.2%
LLME Score: 0.05599
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Xglm 1.7B (facebook/xglm-1.7B)
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Xglm 1.7B Parameters and Internals

Model Type 
autoregressive, language model
Supported Languages 
languages (multilingual), langs_proficiency (en, ru, zh, de, es, fr, ja, it, pt, el, ko, fi, id, tr, ar, vi, th, bg, ca, hi, et, bn, ta, ur, sw, te, eu, my, ht, qu)
Training Details 
Data Volume:
500 billion sub-tokens
LLM NameXglm 1.7B
Repository 🤗https://huggingface.co/facebook/xglm-1.7B 
Model Size1.7b
Required VRAM3.5 GB
Updated2026-04-03
Maintainerfacebook
Model Typexglm
Model Files  3.5 GB
Supported Languagesen ru zh de es fr ja it pt el ko fi id tr ar vi th bg ca hi et bn ta ur sw te eu my ht qu
Model ArchitectureXGLMForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.16.0.dev0
Tokenizer ClassXGLMTokenizer
Padding Token<pad>
Vocabulary Size256008
Activation Functiongelu

Best Alternatives to Xglm 1.7B

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Xglm Instruct 22K / 6.9 GB80
Note: green Score (e.g. "73.2") means that the model is better than facebook/xglm-1.7B.

Rank the Xglm 1.7B 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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