What are the hardware requirements for Tulu V2 Sft Mixture 150K Mistral 7B 1 Epochs Alpha 0 Beta 0.2?

Tulu V2 Sft Mixture 150K Mistral 7B 1 Epochs Alpha 0 Beta 0.2 requires approximately 29 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Tulu V2 Sft Mixture 150K Mistral 7B 1 Epochs Alpha 0 Beta 0.2?

Tulu V2 Sft Mixture 150K Mistral 7B 1 Epochs Alpha 0 Beta 0.2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tulu V2 Sft Mixture 150K Mistral 7B 1 Epochs Alpha 0 Beta 0.2 by kowndinya23 — VRAM 29GB, 32K context

Name: Tulu V2 Sft Mixture 150K Mistral 7B 1 Epochs Alpha 0 Beta 0.2
Author: kowndinya23

Tulu V2 Sft Mixture 150K Mistral 7B 1 Epochs Alpha 0 Beta 0.2 is an open-source language model by kowndinya23. Features: 7b LLM, VRAM: 29GB, Context: 32K, LLM Explorer Score: 0.17.

Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/kowndinya23/tulu-v2-sft-mixture-150K-mistral-7b-1-epochs-alpha-0-beta-0.2

Tulu V2 Sft Mixture 150K Mistral 7B 1 Epochs Alpha 0 Beta 0.2 Parameters and Internals

LLM Name	Tulu V2 Sft Mixture 150K Mistral 7B 1 Epochs Alpha 0 Beta 0.2
Repository 🤗	https://huggingface.co/kowndinya23/tulu-v2-sft-mixture-150K-mistral-7b-1-epochs-alpha-0-beta-0.2
Model Size	7b
Required VRAM	29 GB
Updated	2025-12-17
Maintainer	kowndinya23
Model Type	mistral
Model Files	5.0 GB: 1-of-6 4.9 GB: 2-of-6 5.0 GB: 3-of-6 5.0 GB: 4-of-6 4.8 GB: 5-of-6 4.3 GB: 6-of-6
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.45.0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32768
Torch Data Type	float32

Rank the Tulu V2 Sft Mixture 150K Mistral 7B 1 Epochs Alpha 0 Beta 0.2 capabilities

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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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Note: green Score (e.g. "73.2") means that the model is better than kowndinya23/tulu-v2-sft-mixture-150K-mistral-7b-1-epochs-alpha-0-beta-0.2.