Who developed Trained Quant 4bit and how large is it?

Trained Quant 4bit is developed by RyanJT, a model with 3b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Trained Quant 4bit?

Trained Quant 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Trained Quant 4bit by RyanJT

Name: Trained Quant 4bit
Author: RyanJT

Trained Quant 4bit is an open-source language model by RyanJT. Features: 3b LLM, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

Arxiv:1910.09700 4-bit 4bit Adapter Base model:adapter:ryanjt/quan... Base model:ryanjt/quantized-gr... Bitsandbytes Finetuned Instruct Llama Lora Peft Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/RyanJT/trained-quant-4bit

Trained Quant 4bit Parameters and Internals

LLM Name	Trained Quant 4bit
Repository 🤗	https://huggingface.co/RyanJT/trained-quant-4bit
Base Model(s)	... Granite 4bit 3B Code Instruct RyanJT/quantized-granite-4bit-3b-code-instruct
Model Size	3b
Required VRAM	0 GB
Updated	2025-09-13
Maintainer	RyanJT
Instruction-Based	Yes
Model Files	0.0 GB 2.0 GB 0.0 GB
Quantization Type	4bit
Model Architecture	Adapter
Model Max Length	9223372036854775807
Is Biased	none
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	49152
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|v_proj
LoRA Alpha	32
LoRA Dropout	0.1
R Param	8

Rank the Trained Quant 4bit capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Trained Quant 4bit

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...nites Rhythmancer 3B Generator	0K / 0.1 GB	29	0
Cc Coder	0K / 0.1 GB	24	0
...wen2.5 VL 3B FakeBench LoRA V2	0K / 0.1 GB	17	2
AIBio LoRA	0K / 0.1 GB	28	1
StandardOne 3B LoRA	0K / 0.1 GB	42	1
Qwen2.5 Coder 3B QLora	0K / 0.1 GB	15	1
Paperlens Qwen2.5 3B Qlora	0K / 0.1 GB	8	1
...Agreement Qwen2.5 3B Grpo Lora	0K / 0 GB	12	0
... Checking Qwen2.5 3B Grpo Lora	0K / 0 GB	9	0
Qwen2.5 VL 3B FakeBench LoRA	0K / 0.1 GB	19	1

Note: green Score (e.g. "73.2") means that the model is better than RyanJT/trained-quant-4bit.