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TinyLlama 1.1B Chat V0.6 by TinyLlama

 »  All LLMs  »  TinyLlama  »  TinyLlama 1.1B Chat V0.6   URL Share it on

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  Autotrain compatible   Conversational   Dataset:bigcode/starcoderdata Dataset:cerebras/slimpajama-62... Dataset:openassistant/oasst to...   En   Endpoints compatible   Ggml   Gguf   Llama   Q4   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v0.6 

TinyLlama 1.1B Chat V0.6 Benchmarks

MMLU Pro: 1.65
GPQA: 1.12
MUSR: 2.28
BBH: 3.39
IFEval: 15.74 vs 88 (so35)-82.1%
ARC: 31.66 vs 96.7 (so35)-67.3%
HellaSwag: 55.79 vs 95.3 (gpt4)-41.5%
MMLU: 25.98 vs 88.3 (so35)-70.6%
TruthfulQA: 34.72 vs 59 (gpt4)-41.2%
WinoGrande: 59.35 vs 87.5 (gpt4)-32.2%
GSM8K: 2.12 vs 96.4 (so35)-97.8%
MATH Lvl 5: 1.59
LLME Score: 0.25488
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
TinyLlama 1.1B Chat V0.6 (TinyLlama/TinyLlama-1.1B-Chat-v0.6)

TinyLlama 1.1B Chat V0.6 Parameters and Internals

Model Type 
text generation, chatbot
Use Cases 
Areas:
chatbot applications, text generation
Primary Use Cases:
interactive chatbots, text completion
Additional Notes 
This model is compact and designed for efficient computation and memory footprint.
Supported Languages 
en (high)
Training Details 
Data Sources:
cerebras/SlimPajama-627B, bigcode/starcoderdata, OpenAssistant/oasst_top1_2023-08-25
Data Volume:
3 trillion tokens
Methodology:
Pretraining with optimization, same architecture and tokenizer as Llama 2, further aligned with TRL's DPOTrainer on UltraFeedback dataset
Training Time:
90 days
Hardware Used:
16 A100-40G GPUs
Model Architecture:
Same as Llama 2
Input Output 
Input Format:
JSON-like structured input for messages
Accepted Modalities:
text
Output Format:
generated text
Performance Tips:
Use proper transformers and accelerate installation for optimal performance
LLM NameTinyLlama 1.1B Chat V0.6
Repository 🤗https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v0.6 
Model Size1.1b
Required VRAM0.6 GB
Updated2025-02-22
MaintainerTinyLlama
Model Typellama
Model Files  0.6 GB   2.2 GB
Supported Languagesen
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typeggml|q4|gguf
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Rank the TinyLlama 1.1B Chat V0.6 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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Release v20241227
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