Marx 3B V3 GPTQ by TheBloke

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  Arxiv:2305.14314   4-bit   Autotrain compatible   Base model:acrastt/marx-3b-v3 Base model:quantized:acrastt/m...   Custom code Dataset:acrastt/everythinglm-v...   En   Gptq   Quantized   Region:us   Safetensors   Stablelm epoch

Marx 3B V3 GPTQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Marx 3B V3 GPTQ (TheBloke/Marx-3B-v3-GPTQ)

Marx 3B V3 GPTQ Parameters and Internals

Model Type 
text-generation
Supported Languages 
English (high proficiency)
Training Details 
Data Sources:
EverythingLM Data V3 (ShareGPT Format)
Methodology:
Finetuned for 2 epochs using QLoRA on EverythingLM Data V3 (ShareGPT Format)
Model Architecture:
StableLM 3B 4E1T
Input Output 
Input Format:
User-Assistant format
Accepted Modalities:
text
Output Format:
Text generation
LLM NameMarx 3B V3 GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Marx-3B-v3-GPTQ 
Model NameMarx 3B V3
Model CreatorBohan Du
Base Model(s)  Marx 3B V3   acrastt/Marx-3B-V3
Model Size3b
Required VRAM1.8 GB
Updated2024-12-22
MaintainerTheBloke
Model Typestablelm_epoch
Model Files  1.8 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureStableLMEpochForCausalLM
Licensecc-by-sa-4.0
Context Length4096
Model Max Length4096
Transformers Version4.34.1
Tokenizer ClassGPTNeoXTokenizerFast
Vocabulary Size50304
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Marx-3B-v3-GPTQ.

Rank the Marx 3B V3 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217