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TinyLlama QuantumQuill Chat 08 05 24 2 by Stefan171

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TinyLlama QuantumQuill Chat 08 05 24 2 is an open-source language model by Stefan171. Features: LLM, VRAM: 2.2GB, Context: 2K, License: apache-2.0, Quantized, LLM Explorer Score: 0.17, Arc: 33.2, HellaSwag: 58.1, MMLU: 25.4, GSM8K: 2.2.

  4bit   Autotrain compatible Base model:finetune:unsloth/ti... Base model:unsloth/tinyllama-c...   Conversational   En   Endpoints compatible   Llama   Pytorch   Quantized   Region:us   Sft   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Stefan171/TinyLlama-QuantumQuill-chat-08-05-24-2 

TinyLlama QuantumQuill Chat 08 05 24 2 Benchmarks

ARC: 33.19 vs 96.7 (so35)-65.7%
HellaSwag: 58.06 vs 95.3 (gpt4)-39.1%
MMLU: 25.37 vs 88.3 (so35)-71.3%
GSM8K: 2.2 vs 96.4 (so35)-97.7%
LLME Score: 0.17069
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
TinyLlama QuantumQuill Chat 08 05 24 2 (Stefan171/TinyLlama-QuantumQuill-chat-08-05-24-2)
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TinyLlama QuantumQuill Chat 08 05 24 2 Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, llama, trl, sft
Additional Notes 
The model is finetuned from model: unsloth/tinyllama-chat-bnb-4bit
Training Details 
Methodology:
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameTinyLlama QuantumQuill Chat 08 05 24 2
Repository 🤗https://huggingface.co/Stefan171/TinyLlama-QuantumQuill-chat-08-05-24-2 
Base Model(s)  Tinyllama Chat Bnb 4bit   unsloth/tinyllama-chat-bnb-4bit
Required VRAM2.2 GB
Updated2025-09-23
MaintainerStefan171
Model Typellama
Model Files  2.2 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Stefan171/TinyLlama-QuantumQuill-chat-08-05-24-2.

Rank the TinyLlama QuantumQuill Chat 08 05 24 2 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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