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Mpt 7B 8K Chat Sharded Bf16 by Trelis

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  Arxiv:2010.04245   Arxiv:2108.12409   Arxiv:2205.14135   Autotrain compatible   Codegen   Composer   Custom code   Ext 8k   Instruct   Llm-foundry   Mosaicml   Mpt   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/Trelis/mpt-7b-8k-chat-sharded-bf16 

Mpt 7B 8K Chat Sharded Bf16 Benchmarks

LLME Score: 0.11615
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mpt 7B 8K Chat Sharded Bf16 (Trelis/mpt-7b-8k-chat-sharded-bf16)

Mpt 7B 8K Chat Sharded Bf16 Parameters and Internals

Model Type 
chatbot-like model, dialogue generation
Use Cases 
Areas:
Research, Education, Non-commercial applications
Applications:
Chatbots, Dialogue systems
Primary Use Cases:
Generating dialogue, Chatbots
Limitations:
May provide incorrect or biased information, Unsuitable for producing truly factual data
Considerations:
Due to its nature, outputs should be verified, and caution used in certain contexts.
Training Details 
Data Sources:
anon8231489123/ShareGPT_Vicuna_unfiltered, camel-ai, teknium1/GPTeacher, timdettmers/openassistant-guanaco, project-baize/baize-chatbot
Data Volume:
Several datasets with respective tokens: 26.4M, 55M, 301M, 7.56M, 15.6M, 18.4M, 821M, 297M
Context Length:
2048
Training Time:
48 minutes
Hardware Used:
192 H100s
Model Architecture:
Modified decoder-only transformer with FlashAttention, ALiBi, and no biases.
Safety Evaluation 
Ethical Considerations:
Model can produce inappropriate or biased content as it was trained on various public datasets.
Input Output 
Input Format:
Text-based prompts
Accepted Modalities:
text
Output Format:
Generated dialogue text
Performance Tips:
Use hardware acceleration and optimal configurations for best results, such as specific attention mechanisms like 'ALiBi' and 'FlashAttention'.
LLM NameMpt 7B 8K Chat Sharded Bf16
Repository 🤗https://huggingface.co/Trelis/mpt-7b-8k-chat-sharded-bf16 
Model Size7b
Required VRAM13.4 GB
Updated2025-02-22
MaintainerTrelis
Model Typempt
Instruction-BasedYes
Model Files  1.9 GB: 1-of-7   1.9 GB: 2-of-7   2.0 GB: 3-of-7   1.9 GB: 4-of-7   1.9 GB: 5-of-7   1.9 GB: 6-of-7   1.9 GB: 7-of-7
Context Length8k
Generates CodeYes
Model ArchitectureMPTForCausalLM
Licensecc-by-nc-sa-4.0
Model Max Length8192
Transformers Version4.32.0.dev0
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typebfloat16

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Instruction Following and Task Automation  
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Release v20241227
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