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Synthia 34B V1.2 AWQ by TheBloke

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Synthia 34B V1.2 AWQ is an open-source language model by TheBloke. Features: 34b LLM, VRAM: 18.3GB, Context: 16K, License: llama2, Quantized, Code Generating, LLM Explorer Score: 0.09.

  4-bit   Awq   Codegen   Custom code   Fp16   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/Synthia-34B-v1.2-AWQ 

Synthia 34B V1.2 AWQ Benchmarks

LLME Score: 0.09343
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Synthia 34B V1.2 AWQ (TheBloke/Synthia-34B-v1.2-AWQ)
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Synthia 34B V1.2 AWQ Parameters and Internals

LLM NameSynthia 34B V1.2 AWQ
Repository 🤗https://huggingface.co/TheBloke/Synthia-34B-v1.2-AWQ 
Model NameSynthia 34B v1.2
Model CreatorMigel Tissera
Base Model(s)  migtissera/Synthia-34B-v1.2   migtissera/Synthia-34B-v1.2
Model Size34b
Required VRAM18.3 GB
Updated2026-04-21
MaintainerTheBloke
Model Typellama
Model Files  9.9 GB: 1-of-2   8.4 GB: 2-of-2
AWQ QuantizationYes
Quantization Typefp16|awq
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
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-34B-v1.2-AWQ.

Rank the Synthia 34B V1.2 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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