Seraph Openchat 3.5 1210 Slerp GPTQ by TheBloke

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Seraph Openchat 3.5 1210 Slerp GPTQ is an open-source language model by TheBloke. Features: 7.2b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

  4-bit Base model:quantized:weyaxi/se... Base model:weyaxi/seraph-openc...   Gptq   Mistral   Quantized   Region:us   Safetensors

Seraph Openchat 3.5 1210 Slerp GPTQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Seraph Openchat 3.5 1210 Slerp GPTQ Parameters and Internals

Model Type 
mistral
Training Details 
Model Architecture:
slerp
Input Output 
Input Format:
{prompt}
LLM NameSeraph Openchat 3.5 1210 Slerp GPTQ
Repository 🤗https://huggingface.co/TheBloke/Seraph-openchat-3.5-1210-Slerp-GPTQ 
Model NameSeraph OpenChat 3.5 1210 SLERP
Model CreatorYağız Çalık
Base Model(s)  Weyaxi/Seraph-openchat-3.5-1210-Slerp   Weyaxi/Seraph-openchat-3.5-1210-Slerp
Model Size7.2b
Required VRAM4.2 GB
Updated2026-05-20
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32002
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Seraph-openchat-3.5-1210-Slerp-GPTQ.

Rank the Seraph Openchat 3.5 1210 Slerp 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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Release v20260328a