What are the hardware requirements for Docllm Yi 6B?

Docllm Yi 6B requires approximately 13.5 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Docllm Yi 6B and how large is it?

Docllm Yi 6B is developed by minlik, a model with 6b 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 Docllm Yi 6B?

Docllm Yi 6B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Docllm Yi 6B by minlik — VRAM 13.5GB, 4K context

Name: Docllm Yi 6B
Author: minlik

Docllm Yi 6B is an open-source language model by minlik. Features: 6b LLM, VRAM: 13.5GB, Context: 4K, Quantized, LLM Explorer Score: 0.11.

Custom code Endpoints compatible Fp16 Llama Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/minlik/docllm-yi-6b

Docllm Yi 6B Parameters and Internals

LLM Name	Docllm Yi 6B
Repository 🤗	https://huggingface.co/minlik/docllm-yi-6b
Model Size	6b
Required VRAM	13.5 GB
Updated	2026-07-09
Maintainer	minlik
Model Type	llama
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 3.5 GB: 3-of-3
Quantization Type	fp16
Model Architecture	LlamaForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.36.1
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	64000
Torch Data Type	float16

Rank the Docllm Yi 6B 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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Note: green Score (e.g. "73.2") means that the model is better than minlik/docllm-yi-6b.