SynthIA 7B V1.5 GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:migtissera/synthia-... Base model:quantized:migtisser...   En   Gptq   Mistral   Quantized   Region:us   Safetensors

SynthIA 7B V1.5 GPTQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SynthIA 7B V1.5 GPTQ (TheBloke/SynthIA-7B-v1.5-GPTQ)

SynthIA 7B V1.5 GPTQ Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
commercial applications, research
Applications:
text generation, AI-assistant
Primary Use Cases:
elaborating on topics using a Tree of Thoughts strategy, constructing a chain of thought reasoning
Supported Languages 
en (proficient)
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:
Accepted Modalities:
text
LLM NameSynthIA 7B V1.5 GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/SynthIA-7B-v1.5-GPTQ 
Model NameSynthIA 7B v1.5
Model CreatorMigel Tissera
Base Model(s)  migtissera/SynthIA-7B-v1.5   migtissera/SynthIA-7B-v1.5
Model Size7b
Required VRAM4.2 GB
Updated2025-03-24
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
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-7B-v1.5-GPTQ.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227