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Test Model 1 Pretrain by Jboadu

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Test Model 1 Pretrain is an open-source language model by Jboadu. Features: 7b LLM, VRAM: 15GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.19.

  Autotrain compatible   Axolotl Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Conversational Dataset:inferred facts gaia ra... Dataset:representation variati... Dataset:text chunks gaia raw t...   Endpoints compatible   Generated from trainer   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Jboadu/test-model-1-pretrain 

Test Model 1 Pretrain Benchmarks

LLME Score: 0.19435
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Test Model 1 Pretrain (Jboadu/test-model-1-pretrain)
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Test Model 1 Pretrain Parameters and Internals

LLM NameTest Model 1 Pretrain
Repository 🤗https://huggingface.co/Jboadu/test-model-1-pretrain 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.3   mistralai/Mistral-7B-Instruct-v0.3
Model Size7b
Required VRAM15 GB
Updated2025-09-23
MaintainerJboadu
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   4.6 GB: 3-of-4   0.5 GB: 4-of-4   0.0 GB
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.49.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32768
Torch Data Typefloat32

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... Summarize 64K QLoRANET Merged128K / 4.1 GB60
...1 Summarize 64K LoRANET Merged128K / 14.4 GB60
Mistral 7B Instruct V0.232K / 14.4 GB11153373184
Mistral 7B Instruct V0.132K / 14.4 GB3023141843
Mistral 7B Instruct V0.232K / 14.4 GB16310
Mixtral AI CyberCoder32K / 14.3 GB00
Note: green Score (e.g. "73.2") means that the model is better than Jboadu/test-model-1-pretrain.

Rank the Test Model 1 Pretrain Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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