What are the hardware requirements for Mistral Nemo 12B Reasoning Psychology Lora?

Mistral Nemo 12B Reasoning Psychology Lora requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mistral Nemo 12B Reasoning Psychology Lora and how large is it?

Mistral Nemo 12B Reasoning Psychology Lora is developed by jtatman, a model with 12b 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 Mistral Nemo 12B Reasoning Psychology Lora?

Mistral Nemo 12B Reasoning Psychology Lora is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral Nemo 12B Reasoning Psychology Lora by jtatman — VRAM 0.2GB

Name: Mistral Nemo 12B Reasoning Psychology Lora
Author: jtatman

Mistral Nemo 12B Reasoning Psychology Lora is an open-source language model by jtatman. Features: 12b LLM, VRAM: 0.2GB, License: apache-2.0, LLM Explorer Score: 0.13.

Base model:finetune:mistralai/... Base model:mistralai/mistral-n... En Endpoints compatible Lora Mistral Region:us Safetensors Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/jtatman/mistral_nemo_12b_reasoning_psychology_lora

Mistral Nemo 12B Reasoning Psychology Lora Parameters and Internals

LLM Name	Mistral Nemo 12b Reasoning Psychology Lora
Repository 🤗	https://huggingface.co/jtatman/mistral_nemo_12b_reasoning_psychology_lora
Base Model(s)	Mistral Nemo Base 2407 mistralai/Mistral-Nemo-Base-2407
Model Size	12b
Required VRAM	0.2 GB
Updated	2026-06-28
Maintainer	jtatman
Model Files	0.2 GB
Supported Languages	en
Model Architecture	AutoModel
License	apache-2.0
Model Max Length	1024000
Is Biased	none
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	down_proj\|q_proj\|k_proj\|up_proj\|o_proj\|gate_proj\|v_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	16

Rank the Mistral Nemo 12B Reasoning Psychology Lora 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

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Calme 12B Instruct V0.1 GGUF	0K / 4.7 GB	381	2
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Dolly V2 GGML	0K / 1.6 GB	14	2

Note: green Score (e.g. "73.2") means that the model is better than jtatman/mistral_nemo_12b_reasoning_psychology_lora.