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DeciLM-7B

Foundation modelDeciLM

DeciLM-7B

Release date: 2023-12-12Updated: 2023-12-13 22:02:55.386530
Live demoGitHubHugging FaceCompare
Parameters
7.04B
Context length
8K
Chinese support
Not supported
Reasoning ability

DeciLM-7B is an AI model published by Deci, released on 2023-12-12, for Foundation model, with 7.04B parameters, and 8K context length, requiring about 14.09 storage, with a 59.76 score on MMLU.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

DeciLM-7B

Model basics

Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
8K tokens
Max output length
No data
Model type
Foundation model
Modality (in / out)
No data
Release date
2023-12-12
Model file size
14.09
MoE architecture
No
Total params / Active params
7.04B / N/A
Knowledge cutoff
No data
DeciLM-7B

Open source & experience

Code license
Weights license
Apache 2.0- Commercial use permitted
GitHub repo
GitHub link unavailable
Live demo
No live demo
DeciLM-7B

Official resources

Paper
DataLearnerAI blog
No blog post yet
DeciLM-7B

API details

API speed
No data
No public API pricing yet.
DeciLM-7B

Benchmark Results

DeciLM-7B currently shows benchmark results led by GSM8K (47 / 70, score 47.38), MMLU (93 / 124, score 59.76). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.

Thinking

General Knowledge

1 evaluations
Benchmark / mode
Score
Rank/total
MMLU
Standard Mode
59.76
93 / 124

Math and Reasoning

1 evaluations
Benchmark / mode
Score
Rank/total
GSM8K
Standard Mode
47.38
47 / 70

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DeciLM-7B

Publisher

DeciLM-7B

Model Overview

DeciLM-7B is an AI model published by Deci, released on 2023-12-12, for Foundation model, with 7.04B parameters, and 8K context length, requiring about 14.09 storage, with a 59.76 score on MMLU.

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