What are the hardware requirements for Test Model 1 Pretrain?

Test Model 1 Pretrain requires approximately 15 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Test Model 1 Pretrain and how large is it?

Test Model 1 Pretrain is developed by Jboadu, a model with 7b 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 Test Model 1 Pretrain?

Test Model 1 Pretrain is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Test Model 1 Pretrain by Jboadu — VRAM 15GB, 32K context

Name: Test Model 1 Pretrain
Author: Jboadu

Test Model 1 Pretrain is an open-source language model by Jboadu. Features: 7b LLM, VRAM: 15GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.19.

Autotrain compatible Axolotl Base model:finetune:mistralai/... Base model:mistralai/mistral-7... Conversational Dataset:inferred facts gaia ra... Dataset:representation variati... Dataset:text chunks gaia raw t... Endpoints compatible Generated from trainer Instruct Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Jboadu/test-model-1-pretrain

Test Model 1 Pretrain Parameters and Internals

LLM Name	Test Model 1 Pretrain
Repository 🤗	https://huggingface.co/Jboadu/test-model-1-pretrain
Base Model(s)	mistralai/Mistral-7B-Instruct-v0.3 mistralai/Mistral-7B-Instruct-v0.3
Model Size	7b
Required VRAM	15 GB
Updated	2025-09-23
Maintainer	Jboadu
Model Type	mistral
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 4.9 GB: 2-of-4 4.6 GB: 3-of-4 0.5 GB: 4-of-4 0.0 GB
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.49.0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32768
Torch Data Type	float32

Rank the Test Model 1 Pretrain 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 Test Model 1 Pretrain

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
... Summarize 64K QLoRANET Merged	128K / 4.1 GB	11	0
...1 Summarize 64K LoRANET Merged	128K / 14.4 GB	11	0
Mistral 7B Instruct V0.2	32K / 14.4 GB	1115337	3184
Mistral 7B Instruct V0.1	32K / 14.4 GB	253629	1846
Mistral 7B Instruct V0.2	32K / 14.4 GB	1338	0
Mixtral AI CyberCoder	32K / 14.3 GB	0	0

Note: green Score (e.g. "73.2") means that the model is better than Jboadu/test-model-1-pretrain.