What are the hardware requirements for Medguanaco 65B GPTQ?

Medguanaco 65B GPTQ requires approximately 33.8 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Medguanaco 65B GPTQ and how large is it?

Medguanaco 65B GPTQ is developed by nmitchko, a model with 65b 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 Medguanaco 65B GPTQ?

Medguanaco 65B GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Medguanaco 65B GPTQ by nmitchko — VRAM 33.8GB, 2K context

Name: Medguanaco 65B GPTQ
Author: nmitchko

Medguanaco 65B GPTQ is an open-source language model by nmitchko. Features: 65b LLM, VRAM: 33.8GB, Context: 2K, License: cc, Quantized, LLM Explorer Score: 0.07.

Arxiv:2106.09685 Arxiv:2303.14070 Base model:finetune:thebloke/g... Base model:thebloke/guanaco-65... En Endpoints compatible Gptq Llama Medical Pytorch Quantized Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/nmitchko/medguanaco-65b-GPTQ

Medguanaco 65B GPTQ Parameters and Internals

Model Type

text-generation

Supported Languages

en ()

Training Details

Data Sources:

Anki flashcards, Wikidoc, StackExchange, ChatDoctor

Methodology:

Fine-tuning with LoRA and reduced to 8bit

Model Architecture:

LoRa fine-tuned large language model based on LLaMA.

LLM Name	Medguanaco 65B GPTQ
Repository 🤗	https://huggingface.co/nmitchko/medguanaco-65b-GPTQ
Base Model(s)	Guanaco 65B GPTQ TheBloke/guanaco-65B-GPTQ
Model Size	65b
Required VRAM	33.8 GB
Updated	2026-07-29
Maintainer	nmitchko
Model Type	llama
Model Files	10.0 GB: 1-of-4 9.9 GB: 2-of-4 9.9 GB: 3-of-4 4.0 GB: 4-of-4
Supported Languages	en
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
License	cc
Context Length	2048
Model Max Length	2048
Transformers Version	4.29.2
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Medguanaco 65B GPTQ 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 Medguanaco 65B GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
...en Instruct Human Mix 65B GPTQ	2K / 33.5 GB	11	0
Airoboros 65B Gpt4 1.4 GPTQ	2K / 33.5 GB	12	13
Airoboros 65B Gpt4 1.3 GPTQ	2K / 33.5 GB	5	3
Airoboros 65B Gpt4 1.2 GPTQ	2K / 33.5 GB	41	11
Dromedary 65B Lora GPTQ	2K / 33.5 GB	6	6
Gpt4 Alpaca Lora Mlp 65B GPTQ	2K / 33.5 GB	49	14
Guanaco 65B GPTQ	2K / 33.5 GB	481	262
Airoboros 65B GPT4 2.0 GPTQ	2K / 33.5 GB	8	3
Airoboros 65B GPT4 M2.0 GPTQ	2K / 33.5 GB	3	2
...stage Llama1 65B Instruct GPTQ	2K / 34.7 GB	9	3

Note: green Score (e.g. "73.2") means that the model is better than nmitchko/medguanaco-65b-GPTQ.