What are the hardware requirements for Results?

Results requires approximately 13.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Results and how large is it?

Results is developed by janani4office2, 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 Results?

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

Results by janani4office2 — VRAM 13.3GB

Name: Results
Author: janani4office2

Results is an open-source language model by janani4office2. Features: 7b LLM, VRAM: 13.3GB, License: cc-by-sa-3.0, Instruction-Based, LLM Explorer Score: 0.08.

Base model:finetune:mosaicml/m... Base model:mosaicml/mpt-7b-ins... Custom code Endpoints compatible Generated from trainer Instruct Mpt Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/janani4office2/results

Results Parameters and Internals

LLM Name	Results
Repository 🤗	https://huggingface.co/janani4office2/results
Base Model(s)	Mpt 7B Instruct mosaicml/mpt-7b-instruct
Model Size	7b
Required VRAM	13.3 GB
Updated	2026-08-03
Maintainer	janani4office2
Model Type	mpt
Instruction-Based	Yes
Model Files	9.9 GB: 1-of-2 3.4 GB: 2-of-2 0.0 GB
Model Architecture	MPTForCausalLM
License	cc-by-sa-3.0
Transformers Version	4.31.0
Vocabulary Size	50432
Torch Data Type	bfloat16

Rank the Results 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 Results

Best Alternatives	Context / RAM	Downloads	Likes
Mpt 7B Chat	0K / 13.3 GB	80920	518
Mpt 7B Instruct	0K / 13.3 GB	7946	470
Mpt 7B Int8 Ov	0K / 0 GB	13	0
Mpt 7B 8K Instruct	0K / 13.3 GB	2012	27
Sea Lion 7B Instruct	0K / 15 GB	208	23
Sea Lion 7B Instruct Research	0K / 15 GB	11	14
Mpt 7B 8K Chat Sharded Bf16	0K / 13.4 GB	7	1
...7B 8K Instruct Peft Compatible	0K / 13.3 GB	9	1
Vigogne Mpt 7B Instruct	0K / 13.4 GB	7	0
...pt 7B Instruct Peft Compatible	0K / 13.3 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than janani4office2/results.