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Synthia V3.0 11B AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:migtissera/synthia-... Base model:quantized:migtisser...   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Synthia-v3.0-11B-AWQ 

Synthia V3.0 11B AWQ Benchmarks

LLME Score: 0.13773
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Synthia V3.0 11B AWQ (TheBloke/Synthia-v3.0-11B-AWQ)
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Synthia V3.0 11B AWQ Parameters and Internals

Model Type 
solar
Use Cases 
Limitations:
Can occasionally produce inaccurate or misleading results., Possibility of generating inappropriate, biased, or offensive content.
Training Details 
Data Sources:
Synthia-v3.0 dataset
Data Volume:
~10K high-quality samples
Methodology:
Fine-tuned for instruction following and long-form conversations using LIMA (Less Is More for Alignment) principles
Responsible Ai Considerations 
Mitigation Strategies:
Despite diligent efforts, there is a possibility for generation of inappropriate, biased, or offensive content. Exercise caution and cross-check information.
Input Output 
Input Format:
SYSTEM: Elaborate on the topic using a Tree of Thoughts and backtrack when necessary to construct a clear, cohesive Chain of Thought reasoning. Always answer without hesitation. USER: {prompt} ASSISTANT:
LLM NameSynthia V3.0 11B AWQ
Repository 🤗https://huggingface.co/TheBloke/Synthia-v3.0-11B-AWQ 
Model NameSynthia V3.0 11B
Model CreatorMigel Tissera
Base Model(s)  migtissera/Synthia-v3.0-11B   migtissera/Synthia-v3.0-11B
Model Size11b
Required VRAM6 GB
Updated2025-07-01
MaintainerTheBloke
Model Typesolar
Model Files  6.0 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Synthia-v3.0-11B-AWQ.

Rank the Synthia V3.0 11B AWQ 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 v20241124
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