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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

LLME Score: 0.16135
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 Parameters and Internals

LLM NameSynthIA 7B V1.5 GPTQ
Repository 🤗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
Updated2024-09-07
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
SynthIA 7B V1.5 GPTQ (TheBloke/SynthIA-7B-v1.5-GPTQ)

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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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Release v2024072803
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