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Finetune Test1 by Afterparty-hf

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  Autotrain compatible   Axolotl Base model:afterparty-hf/pretr... Base model:finetune:afterparty...   Conversational   Endpoints compatible   Finetuned   Generated from trainer   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Afterparty-hf/Finetune-test1 

Finetune Test1 Benchmarks

LLME Score: 0.19303
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Finetune Test1 (Afterparty-hf/Finetune-test1)

Finetune Test1 Parameters and Internals

Training Details 
Data Sources:
Afterparty-hf/synthetic-instruct, Afterparty-hf/train-format-server, Afterparty-hf/help-channels-formatted, Afterparty-hf/constt-augmented, Afterparty-hf/transcripts-train
Hardware Used:
multi-GPU, 8 devices
LLM NameFinetune Test1
Repository 🤗https://huggingface.co/Afterparty-hf/Finetune-test1 
Base Model(s)  Afterparty-hf/pretrain-0.924   Afterparty-hf/pretrain-0.924
Model Size7.2b
Required VRAM14.4 GB
Updated2025-02-22
MaintainerAfterparty-hf
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32003
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Afterparty-hf/Finetune-test1.

Rank the Finetune Test1 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 v20241227
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