What are the hardware requirements for Nous Capybara Limarpv3 34B?

Nous Capybara Limarpv3 34B requires approximately 69.2 GB of VRAM and supports a context window of 195K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Nous Capybara Limarpv3 34B and how large is it?

Nous Capybara Limarpv3 34B is developed by Doctor-Shotgun, a model with 34b 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 Nous Capybara Limarpv3 34B?

Nous Capybara Limarpv3 34B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nous Capybara Limarpv3 34B by Doctor-Shotgun — VRAM 69.2GB, 195K context

Name: Nous Capybara Limarpv3 34B
Author: Doctor-Shotgun

Nous Capybara Limarpv3 34B is an open-source language model by Doctor-Shotgun. Features: 34b LLM, VRAM: 69.2GB, Context: 195K, LLM Explorer Score: 0.1.

Autotrain compatible Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Doctor-Shotgun/Nous-Capybara-limarpv3-34B

Nous Capybara Limarpv3 34B Parameters and Internals

LLM Name	Nous Capybara Limarpv3 34B
Repository 🤗	https://huggingface.co/Doctor-Shotgun/Nous-Capybara-limarpv3-34B
Model Size	34b
Required VRAM	69.2 GB
Updated	2025-10-31
Maintainer	Doctor-Shotgun
Model Type	llama
Model Files	4.8 GB: 1-of-15 4.8 GB: 2-of-15 5.0 GB: 3-of-15 4.8 GB: 4-of-15 4.8 GB: 5-of-15 5.0 GB: 6-of-15 4.8 GB: 7-of-15 4.8 GB: 8-of-15 5.0 GB: 9-of-15 4.8 GB: 10-of-15 4.8 GB: 11-of-15 5.0 GB: 12-of-15 4.8 GB: 13-of-15 4.8 GB: 14-of-15 1.2 GB: 15-of-15
Model Architecture	LlamaForCausalLM
Context Length	200000
Model Max Length	200000
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	64000
Torch Data Type	float16

Rank the Nous Capybara Limarpv3 34B 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

Quantized Models of the Nous Capybara Limarpv3 34B

Model	Likes	Downloads	VRAM
...ous Capybara Limarpv3 34B GGUF	29	1038	14 GB
...ous Capybara Limarpv3 34B GPTQ	4	11	18 GB
Nous Capybara Limarpv3 34B AWQ	1	0	19 GB

Best Alternatives to Nous Capybara Limarpv3 34B

Best Alternatives	Context / RAM	Downloads	Likes
Bagel Hermes 34B Slerp	195K / 68.9 GB	8375	1
34B Beta	195K / 69.2 GB	8670	67
Smaug 34B V0.1	195K / 69.2 GB	8082	64
Casual Magnum 34B	195K / 68.8 GB	4	1
Yi 34B 200K	195K / 68.9 GB	9133	320
Bagel 34B V0.2	195K / 68.7 GB	259	41
Yi 34B 200K AEZAKMI V2	195K / 69.2 GB	57	12
Faro Yi 34B	195K / 69.2 GB	8208	6
Bagel DPO 34B V0.5	195K / 68.7 GB	8040	17
Smaug 34B V0.1 ExPO	195K / 69.2 GB	7812	0

Note: green Score (e.g. "73.2") means that the model is better than Doctor-Shotgun/Nous-Capybara-limarpv3-34B.