Synthia 7B V1.3 GPTQ by TheBloke

 ยป  All LLMs  ยป  TheBloke  ยป  Synthia 7B V1.3 GPTQ   URL Share it on

Synthia 7B V1.3 GPTQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.1.

  Arxiv:2306.02707   4-bit Base model:migtissera/synthia-... Base model:quantized:migtisser...   En   Gptq   Mistral   Quantized   Region:us   Safetensors

Synthia 7B V1.3 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 V1.3 GPTQ (TheBloke/Synthia-7B-v1.3-GPTQ)
๐ŸŒŸ Advertise your project ๐Ÿš€

Synthia 7B V1.3 GPTQ Parameters and Internals

LLM NameSynthia 7B V1.3 GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Synthia-7B-v1.3-GPTQ 
Model NameSynthia 7B V1.3
Model CreatorMigel Tissera
Base Model(s)  migtissera/Synthia-7B-v1.3   migtissera/Synthia-7B-v1.3
Model Size7b
Required VRAM4.2 GB
Updated2026-03-19
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.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to Synthia 7B V1.3 GPTQ

Best Alternatives
Context / RAM
Downloads
Likes
...enHermes 2.5 Mistral 7B Marlin32K / 4.1 GB5842
Zephyr 7B Beta Marlin32K / 4.1 GB310
Mistral 7B Instruct V0.3 GPTQ32K / 4.2 GB628241
Mistral 7B Instruct V0.2 GPTQ32K / 4.2 GB4736054
...ral 7B Instruct V0.3 GPTQ 4bit32K / 4.2 GB294618
...ral 7B Instruct V0.3 GPTQ 4bit32K / 4.2 GB209523
...istral 7B Pruned50 GPTQ Marlin32K / 4 GB60
Mistral 7B Unsloth Gptq 8bit32K / 7.7 GB70
Cosmosage V232K / 4.2 GB74
...phyr 7B Beta Assistant V1 Gptq32K / 4.2 GB11
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Synthia-7B-v1.3-GPTQ.

Rank the Synthia 7B V1.3 GPTQ Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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  

What open-source LLMs or SLMs are you in search of? 52392 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum โ€” our secure, self-hosted AI agent for server management.
Release v20260328a