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Zephyr Smol Llama 100M Sft Full by amazingvince

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Zephyr Smol Llama 100M Sft Full is an open-source language model by amazingvince. Features: 101m LLM, VRAM: 0.2GB, Context: 1K, License: apache-2.0, LLM Explorer Score: 0.12.

Base model:bee-spoke-data/smol... Base model:finetune:bee-spoke-...   Conversational   Endpoints compatible   Generated from trainer   Llama   Region:us   Safetensors   Tensorboard
Model Card on HF 🤗: https://huggingface.co/amazingvince/zephyr-smol_llama-100m-sft-full 

Zephyr Smol Llama 100M Sft Full Benchmarks

LLME Score: 0.11991
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zephyr Smol Llama 100M Sft Full (amazingvince/zephyr-smol_llama-100m-sft-full)
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Zephyr Smol Llama 100M Sft Full Parameters and Internals

Additional Notes 
The model is fine-tuned from the 'smol_llama-101M-GQA' base model, with specific hyperparameters highlighted in the training procedure.
Training Details 
Hardware Used:
2 GPUs
LLM NameZephyr Smol Llama 100M Sft Full
Repository 🤗https://huggingface.co/amazingvince/zephyr-smol_llama-100m-sft-full 
Base Model(s)  Smol Llama 101M GQA   BEE-spoke-data/smol_llama-101M-GQA
Model Size101m
Required VRAM0.2 GB
Updated2026-04-07
Maintaineramazingvince
Model Typellama
Model Files  0.2 GB   0.0 GB
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length1024
Model Max Length1024
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32128
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than amazingvince/zephyr-smol_llama-100m-sft-full.

Rank the Zephyr Smol Llama 100M Sft Full 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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