What are the hardware requirements for Morningstar 13B Hf?

Morningstar 13B Hf requires approximately 26 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Morningstar 13B Hf and how large is it?

Morningstar 13B Hf is developed by NewstaR, a model with 13b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Morningstar 13B Hf perform on standard benchmarks?

Morningstar 13B Hf has the following published scores: MMLU 54.63. Compare against reference models on this page or on the LLM Explorer leaderboards.

Morningstar 13B Hf by NewstaR — VRAM 26GB, 4K context

Name: Morningstar 13B Hf
Author: NewstaR

Morningstar 13B Hf is an open-source language model by NewstaR. Features: 13b LLM, VRAM: 26GB, Context: 4K, LLM Explorer Score: 0.11, Arc: 59, HellaSwag: 81.9, MMLU: 54.6, GSM8K: 15.2.

En Endpoints compatible Llama Llama2 Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/NewstaR/Morningstar-13b-hf

Morningstar 13B Hf Parameters and Internals

Model Type

text generation

Use Cases

Areas:

research, commercial applications

Applications:

text generation, content creation, conversational agent

Limitations:

May generate incorrect or nonsensical text, Lacks true language understanding, Potential for generating biased or unsafe content

Training Details

Data Sources:

likely trained on a large corpus of text data scraped from the internet

Responsible Ai Considerations

Fairness:

Large language models like MorningStar carry risks around bias, toxicity, and misinformation.

Accountability:

Model outputs should be monitored and filtered before use in real applications.

Mitigation Strategies:

Avoid harmful or unethical prompts.

LLM Name	Morningstar 13B Hf
Repository 🤗	https://huggingface.co/NewstaR/Morningstar-13b-hf
Model Size	13b
Required VRAM	26 GB
Updated	2026-07-28
Maintainer	NewstaR
Model Type	llama
Model Files	9.9 GB: 1-of-3 9.9 GB: 2-of-3 6.2 GB: 3-of-3 9.9 GB: 1-of-3 9.9 GB: 2-of-3 6.2 GB: 3-of-3
Supported Languages	en
Model Architecture	LlamaForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.33.1
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Morningstar 13B Hf 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 Morningstar 13B Hf

Best Alternatives	Context / RAM	Downloads	Likes
Luminaura RP 13B	128K / 26 GB	9	1
Yarn Llama 2 13B 128K	128K / 26 GB	184	113
Agent Llama2 13B 80K	80K / 26.4 GB	5	0
Chat Llama2 13B 80K	80K / 52.8 GB	5	0
LongAlign 13B 64K	64K / 26 GB	96	13
LongAlign 13B 64K Base	64K / 26 GB	89	3
LongAlign 13B 64K	64K / 26 GB	11	13
LongAlign 13B 64K Base	64K / 26 GB	6	3
Openbuddy Llama2 13B V15p1 64K	64K / 26.1 GB	4	4
Openbuddy Llama2 13b64k V15	64K / 26.1 GB	12	2

Note: green Score (e.g. "73.2") means that the model is better than NewstaR/Morningstar-13b-hf.