What are the hardware requirements for Tulu V2 Sft Mixture 150K Llama 3 3B 1 Epochs Alpha 0.6 Beta 0.8?

Tulu V2 Sft Mixture 150K Llama 3 3B 1 Epochs Alpha 0.6 Beta 0.8 requires approximately 6.5 GB of VRAM and supports a context window of 128K 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 Llama 3 3B 1 Epochs Alpha 0.6 Beta 0.8?

Tulu V2 Sft Mixture 150K Llama 3 3B 1 Epochs Alpha 0.6 Beta 0.8 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 Llama 3 3B 1 Epochs Alpha 0.6 Beta 0.8 by kowndinya23 — VRAM 6.5GB, 128K context

Name: Tulu V2 Sft Mixture 150K Llama 3 3B 1 Epochs Alpha 0.6 Beta 0.8
Author: kowndinya23

Tulu V2 Sft Mixture 150K Llama 3 3B 1 Epochs Alpha 0.6 Beta 0.8 is an open-source language model by kowndinya23. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, LLM Explorer Score: 0.16.

Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/kowndinya23/tulu-v2-sft-mixture-150K-llama-3-3b-1-epochs-alpha-0.6-beta-0.8

Tulu V2 Sft Mixture 150K Llama 3 3B 1 Epochs Alpha 0.6 Beta 0.8 Parameters and Internals

LLM Name	Tulu V2 Sft Mixture 150K Llama 3 3B 1 Epochs Alpha 0.6 Beta 0.8
Repository 🤗	https://huggingface.co/kowndinya23/tulu-v2-sft-mixture-150K-llama-3-3b-1-epochs-alpha-0.6-beta-0.8
Model Size	3b
Required VRAM	6.5 GB
Updated	2025-12-23
Maintainer	kowndinya23
Model Type	llama
Model Files	5.0 GB: 1-of-2 1.5 GB: 2-of-2
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.45.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Tulu V2 Sft Mixture 150K Llama 3 3B 1 Epochs Alpha 0.6 Beta 0.8 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-llama-3-3b-1-epochs-alpha-0.6-beta-0.8.