wbag

Walmart-the-bag

AI & ML interests

Merging, Finetuning, and Pretraining LLM models.

Organizations

Walmart-the-bag's activity

posted an update 15 days ago
reacted to merve's post with šŸš€ 29 days ago
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2818
This is not a drill šŸ’„
HuggingChat is now multimodal with meta-llama/Llama-3.2-11B-Vision-Instruct! šŸ¤—
This also comes with multimodal assistants, I have migrated my Marcus Aurelius advice assistant to Llama-Vision and Marcus can see now! šŸ˜„

Chat with Marcus: https://hf.co/chat/assistant/65bfed22022ba290531112f8
Start chatting with Llama-Vision 3.2 11B Instruct https://huggingface.co/chat/models/meta-llama/Llama-3.2-11B-Vision-Instruct
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reacted to KingNish's post with šŸ‘ about 2 months ago
replied to KingNish's post 6 months ago
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The vision model is pretty good. šŸ¤£
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reacted to KingNish's post with āž• 6 months ago
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4623
Microsoft Just Launched 3 Powerful Models

1. Phi 3 Medium (4k and 128k): A 14b Instruct tuned models that outperformed big models like Command R+ (104b), GPT 3.5 Pro, Gemini Pro, and is highly competitive with top models such as Mixtral 8x22b, Llama3 70B, and GPT 4.
microsoft/Phi-3-medium-4k-instruct
DEMO: https://huggingface.co/spaces/Walmart-the-bag/Phi-3-Medium

2. Phi 3 Mini Vision 128k: A 4.5 billion-parameter, instruction-tuned vision model that has outperformed models such as Llava3 and Claude 3, and is providing stiff competition to Gemini 1Pro Vision.
microsoft/Phi-3-vision-128k-instruct

3. Phi3 Small (8k and 128k): Better than Llama3 8b, Mixtral 8x7b and GPT 3.5 turbo.
microsoft/Phi-3-small-128k-instruct
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posted an update 6 months ago
posted an update 6 months ago
posted an update 6 months ago
posted an update 6 months ago
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1058
Replete-AI/code_bagel


Make the ultimate coding finetune to compete with the likes of closed source models using the code_bagel dataset!

Made by @rombodawg of RepleteAi, the code_bagel dataset contains over 800 million tokens of deduplicated and uncensored code from only reputable sources on huggingface. This code is formatted in the alpaca instruct format for ease of use in training.
replied to merve's post 7 months ago
replied to victor's post 9 months ago