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Synthia 70B GPTQ by TheBloke

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Synthia 70B GPTQ is an open-source language model by TheBloke. Features: 70b LLM, VRAM: 35.3GB, Context: 2K, License: llama2, Quantized, LLM Explorer Score: 0.09.

  Arxiv:2302.13971   Arxiv:2306.02707   4-bit Base model:migtissera/synthia-... Base model:quantized:migtisser...   En   Fp16   Gptq   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Synthia-70B-GPTQ 

Synthia 70B GPTQ Benchmarks

LLME Score: 0.08811
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Synthia 70B GPTQ (TheBloke/Synthia-70B-GPTQ)
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Synthia 70B GPTQ Parameters and Internals

Model Type 
llama
Additional Notes 
Synthia-70B, also known as Synthetic Intelligent Agent, is a LLama-2-70B model trained on Orca style datasets. It has been fine-tuned for instruction following as well as having long-form conversations.
LLM NameSynthia 70B GPTQ
Repository 🤗https://huggingface.co/TheBloke/Synthia-70B-GPTQ 
Model NameSynthia 70B
Model CreatorMigel Tissera
Base Model(s)  Synthia 70B   migtissera/Synthia-70B
Model Size70b
Required VRAM35.3 GB
Updated2025-12-14
MaintainerTheBloke
Model Typellama
Model Files  35.3 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typefp16|gptq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length2048
Model Max Length2048
Transformers Version4.32.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to Synthia 70B GPTQ

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Opus V1.2 70B Marlin32K / 36.4 GB100
MoMo 70B Lora 1.8.6 DPO GPTQ32K / 41.3 GB101
MoMo 70B Lora 1.8.4 DPO GPTQ32K / 41.3 GB21
Tess 70B V1.6 Marlin31K / 36.3 GB71
Midnight Miqu 70B V1.5 GPTQ32G31K / 40.7 GB414
...Midnight Miqu 70B V1.0 GPTQ32G31K / 40.7 GB322
Senku 70B GPTQ 4bit31K / 36.7 GB51
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Synthia-70B-GPTQ.

Rank the Synthia 70B GPTQ 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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