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Smol Llama 101M Chat V1 by Felladrin

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Smol Llama 101M Chat V1 is an open-source language model by Felladrin. Features: 101m LLM, VRAM: 0.4GB, Context: 1K, License: apache-2.0, LLM Explorer Score: 0.16, Arc: 22.9, HellaSwag: 28.7, MMLU: 24.9, GSM8K: 0.1.

Base model:bee-spoke-data/smol... Base model:finetune:bee-spoke-...   Conversational Dataset:cognitivecomputations/...   Dataset:ldjnr/capybara Dataset:open-orca/slimorca-ded... Dataset:starfishmedical/webgpt...   Dataset:thudm/webglm-qa   Dataset:vmware/open-instruct   En   Endpoints compatible   Llama   Model-index   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1 

Smol Llama 101M Chat V1 Benchmarks

ARC: 22.87 vs 96.7 (so35)-76.3%
HellaSwag: 28.71 vs 95.3 (gpt4)-69.9%
MMLU: 24.93 vs 88.3 (so35)-71.8%
GSM8K: 0.08 vs 96.4 (so35)-99.9%
LLME Score: 0.15757
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Smol Llama 101M Chat V1 (Felladrin/Smol-Llama-101M-Chat-v1)
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Smol Llama 101M Chat V1 Parameters and Internals

Model Type 
text generation, chat
Additional Notes 
Multiple format availability: GGUF, ONNX, MLC.
LLM NameSmol Llama 101M Chat V1
Repository 🤗https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1 
Base Model(s)  Smol Llama 101M GQA   BEE-spoke-data/smol_llama-101M-GQA
Model Size101m
Required VRAM0.4 GB
Updated2026-05-23
MaintainerFelladrin
Model Typellama
Model Files  0.4 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length1024
Model Max Length1024
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32128
Torch Data Typefloat32

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Smol Llama 101M GQA Python1K / 0.4 GB201
Note: green Score (e.g. "73.2") means that the model is better than Felladrin/Smol-Llama-101M-Chat-v1.

Rank the Smol Llama 101M Chat V1 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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