TinyLlama 1.1B 32K Instruct 8.0bpw H8 EXL2 by LoneStriker

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  Autotrain compatible   Conversational Dataset:doctor-shotgun/capybar... Dataset:doctor-shotgun/no-robo... Dataset:huggingfaceh4/no robot... Dataset:jondurbin/airoboros-3....   Dataset:ldjnr/capybara   Dataset:ldjnr/verified-camel Dataset:unalignment/toxic-dpo-...   En   Exl2   Instruct   Llama   Quantized   Region:us

TinyLlama 1.1B 32K Instruct 8.0bpw H8 EXL2 Benchmarks

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 32K Instruct 8.0bpw H8 EXL2 (LoneStriker/TinyLlama-1.1B-32k-Instruct-8.0bpw-h8-exl2)

TinyLlama 1.1B 32K Instruct 8.0bpw H8 EXL2 Parameters and Internals

Model Type 
text generation
Training Details 
Data Sources:
LDJnr/Capybara, jondurbin/airoboros-3.2, unalignment/toxic-dpo-v0.1, LDJnr/Verified-Camel, HuggingFaceH4/no_robots, Doctor-Shotgun/no-robots-sharegpt, Doctor-Shotgun/capybara-sharegpt
Methodology:
The model was trained as a full finetune for 3 epochs using a single A100 GPU for around 3.5 hours.
Training Time:
3.5 hours
Hardware Used:
A100 GPU
Input Output 
Input Format:
A modified multi-turn Alpaca instruction format: ### Instruction: {system prompt} ### Input: {user message} ### Response: {model response} ### Input: {user message} ### Response: {model response} (etc.)
LLM NameTinyLlama 1.1B 32K Instruct 8.0bpw H8 EXL2
Repository ๐Ÿค—https://huggingface.co/LoneStriker/TinyLlama-1.1B-32k-Instruct-8.0bpw-h8-exl2 
Model Size1.1b
Required VRAM1.2 GB
Updated2024-12-21
MaintainerLoneStriker
Model Typellama
Instruction-BasedYes
Model Files  1.2 GB
Supported Languagesen
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/TinyLlama-1.1B-32k-Instruct-8.0bpw-h8-exl2.

Rank the TinyLlama 1.1B 32K Instruct 8.0bpw H8 EXL2 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217