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Mosaicml Mpt 7B Chat Qlora by flashvenom

 »  All LLMs  »  flashvenom  »  Mosaicml Mpt 7B Chat Qlora   URL Share it on

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  Arxiv:2010.04245   Arxiv:2108.12409   Arxiv:2205.14135   Autotrain compatible   Composer   Custom code   Dataset:anthropic/hh-rlhf   Dataset:hello-simpleai/hc3 Dataset:jeffwan/sharegpt vicun...   Dataset:tatsu-lab/alpaca Dataset:victor123/evol instruc...   Instruct   Llm-foundry   Mosaicml   Mpt   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/flashvenom/mosaicml-mpt-7b-chat-qlora 

Mosaicml Mpt 7B Chat Qlora Benchmarks

LLME Score: 0.08762
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mosaicml Mpt 7B Chat Qlora (flashvenom/mosaicml-mpt-7b-chat-qlora)
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Mosaicml Mpt 7B Chat Qlora Parameters and Internals

Model Type 
decoder-only transformer, chatbot
Use Cases 
Areas:
Research, Commercial applications
Limitations:
Can produce factually incorrect output, May generate lewd, biased or offensive outputs
Additional Notes 
The model was fine-tuned by Sam Havens and the MosaicML NLP team.
Training Details 
Data Sources:
jeffwan/sharegpt_vicuna, Hello-SimpleAI/HC3, tatsu-lab/alpaca, Anthropic/hh-rlhf, victor123/evol_instruct_70k
Context Length:
2048
Training Time:
9.5 days
Model Architecture:
Modified decoder-only transformer with FlashAttention, ALiBi, no positional embeddings, and no biases.
LLM NameMosaicml Mpt 7B Chat Qlora
Repository 🤗https://huggingface.co/flashvenom/mosaicml-mpt-7b-chat-qlora 
Model Size7b
Required VRAM13.3 GB
Updated2025-09-23
Maintainerflashvenom
Model Typempt
Instruction-BasedYes
Model Files  9.9 GB: 1-of-2   3.4 GB: 2-of-2
Model ArchitectureMPTForCausalLM
Licensecc-by-nc-sa-4.0
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than flashvenom/mosaicml-mpt-7b-chat-qlora.

Rank the Mosaicml Mpt 7B Chat Qlora 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 v20241124
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