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Multi Model Train by SmitTrivedi

By SmitTrivedi · 17 downloads

Multi Model Train is an open-source language model by SmitTrivedi. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.17.

  4bit   Conversational   En   Endpoints compatible   Instruct   Llama   Pytorch   Quantized   Region:us   Sft   Sharded   Trl   Unsloth

Multi Model Train Parameters and Internals

LLM NameMulti Model Train
Repository πŸ€—https://huggingface.co/SmitTrivedi/multi-model-train 
Base Model(s)  unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit   unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit
Model Size3b
Required VRAM6.5 GB
Updated2026-08-03
MaintainerSmitTrivedi
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.5 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.50.0
Tokenizer ClassPreTrainedTokenizer
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typefloat16

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