What are the hardware requirements for Hmm Tulu2 7B Writing Prompts 32768?

Hmm Tulu2 7B Writing Prompts 32768 requires approximately 8.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Hmm Tulu2 7B Writing Prompts 32768 and how large is it?

Hmm Tulu2 7B Writing Prompts 32768 is developed by ctrlg, 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 Hmm Tulu2 7B Writing Prompts 32768?

Hmm Tulu2 7B Writing Prompts 32768 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Hmm Tulu2 7B Writing Prompts 32768 by ctrlg — VRAM 8.5GB

Name: Hmm Tulu2 7B Writing Prompts 32768
Author: ctrlg

Hmm Tulu2 7B Writing Prompts 32768 is an open-source language model by ctrlg. Features: 7b LLM, VRAM: 8.5GB, LLM Explorer Score: 0.14.

Endpoints compatible Model hub mixin Pytorch model hub mixin Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/ctrlg/hmm_tulu2-7b_writing-prompts_32768

Hmm Tulu2 7b Writing Prompts 32768 Benchmarks

LLME Score: 0.13878

^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)

Hmm Tulu2 7B Writing Prompts 32768 (ctrlg/hmm_tulu2-7b_writing-prompts_32768)

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Hmm Tulu2 7B Writing Prompts 32768 Parameters and Internals

Additional Notes

The model has been pushed using the PyTorchModelHubMixin integration.

LLM Name	Hmm Tulu2 7b Writing Prompts 32768
Repository 🤗	https://huggingface.co/ctrlg/hmm_tulu2-7b_writing-prompts_32768
Model Size	7b
Required VRAM	8.5 GB
Updated	2026-05-05
Maintainer	ctrlg
Model Files	8.5 GB
Model Architecture	AutoModel
Vocabulary Size	32000

Best Alternatives to Hmm Tulu2 7B Writing Prompts 32768

Best Alternatives	Context / RAM	Downloads	Likes
TroL 7B	32K / 17.3 GB	9	7
MoAI 7B	32K / 17.7 GB	11	45
CoLLaVO 7B	32K / 18.6 GB	14	21
... 7b 448 Qinstruct Preview V0.1	2K / 17.3 GB	6	4
Janus Pro 7B	0K / 14.8 GB	71490	3591
Autotrain Z7uyk Cwqtz	0K / 0.2 GB	7	0
Qwen 2.5 7B 1M RRP V1 Lora	0K / 0.2 GB	0	3
...2.5 7B Instruct Abliterated V3	0K / 0.2 GB	0	1
Medical Mixtral 7B V2k	0K / 0.4 GB	19	0
Silicon Natsuki 7B	0K / 14.4 GB	15	1

Note: green Score (e.g. "73.2") means that the model is better than ctrlg/hmm_tulu2-7b_writing-prompts_32768.

Rank the Hmm Tulu2 7B Writing Prompts 32768 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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Hmm Tulu2 7B Writing Prompts 32768 by ctrlg

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Hmm Tulu2 7b Writing Prompts 32768 Benchmarks

Hmm Tulu2 7B Writing Prompts 32768 Parameters and Internals

Best Alternatives to Hmm Tulu2 7B Writing Prompts 32768

Rank the Hmm Tulu2 7B Writing Prompts 32768 Capabilities

What open-source LLMs or SLMs are you in search of? 53472 in total.