What are the hardware requirements for Git Base Next?

Git Base Next requires approximately 0.7 GB of VRAM and supports a context window of 1K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Git Base Next and how large is it?

Git Base Next is developed by swaroopajit. 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 Git Base Next?

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

Git Base Next by swaroopajit — VRAM 0.7GB, 1K context

Name: Git Base Next
Author: swaroopajit

Git Base Next is an open-source language model by swaroopajit. Features: LLM, VRAM: 0.7GB, Context: 1K, License: mit, LLM Explorer Score: 0.09.

Autotrain compatible Base model:finetune:microsoft/... Base model:microsoft/git-base Endpoints compatible Generated from trainer Git Image-to-text Pytorch Region:us

Model Card on HF 🤗: https://huggingface.co/swaroopajit/git-base-next

Git Base Next Benchmarks

LLME Score: 0.09124

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Git Base Next (swaroopajit/git-base-next)

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Git Base Next Parameters and Internals

LLM Name	Git Base Next
Repository 🤗	https://huggingface.co/swaroopajit/git-base-next
Base Model(s)	Git Base microsoft/git-base
Required VRAM	0.7 GB
Updated	2024-10-31
Maintainer	swaroopajit
Model Type	git
Model Files	0.7 GB 0.0 GB
Model Architecture	GitForCausalLM
License	mit
Context Length	1024
Model Max Length	1024
Transformers Version	4.33.1
Tokenizer Class	BertTokenizer
Padding Token	[PAD]
Vocabulary Size	30522
Torch Data Type	float32

Best Alternatives to Git Base Next

Best Alternatives	Context / RAM	Downloads	Likes
Git 2024	1K / 0.8 GB	31	0
Med Git	1K / 0.7 GB	13	0
Untitled7 Colab Checkpoint	1K / 1.6 GB	29	0
Git Base One Piece	1K / 0.7 GB	23	0
Git Base Next Temp	1K / 0.7 GB	18	0
Git Base Pokemon	1K / 0.7 GB	27	0
Git 20	1K / 0.7 GB	17	1
General Image Captioning	1K / 0.7 GB	35	0
CLIP Git GPT E6 Small	1K / 0.6 GB	17	0
Git Base E6	1K / 0.7 GB	14	0

Note: green Score (e.g. "73.2") means that the model is better than swaroopajit/git-base-next.

Rank the Git Base Next Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20260328a

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Git Base Next by swaroopajit

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Git Base Next Benchmarks

Git Base Next Parameters and Internals

Best Alternatives to Git Base Next

Rank the Git Base Next Capabilities

What open-source LLMs or SLMs are you in search of? 53999 in total.