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| <body ng-app="app"> | |
| <!--header--> | |
| <div id="header"> | |
| <div class="container cont-header txt-title txt-md" > | |
| <span class="header-left">Kyla Vana</span> | |
| <ul class="header-right"> | |
| <li><a href="#portfolio">Portfolio</a></li> | |
| <li><a href="#about">About</a></li> | |
| <li><a href="#contact">Contact</a></li> | |
| </ul> |
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| body | |
| section#js-header.slideshow | |
| .slideshow__slide.js-slider-home-slide.is-current(data-slide="1") | |
| .slideshow__slide-background-parallax.background-absolute.js-parallax(data-speed="-1" data-position="top" data-target="#js-header") | |
| .slideshow__slide-background-load-wrap.background-absolute | |
| .slideshow__slide-background-load.background-absolute | |
| .slideshow__slide-background-wrap.background-absolute | |
| .slideshow__slide-background.background-absolute | |
| .slideshow__slide-image-wrap.background-absolute | |
| .slideshow__slide-image.background-absolute(style=`background-image:url("https://images.pexels.com/photos/227675/pexels-photo-227675.jpeg?auto=compress&cs=tinysrgb&dpr=2&h=750&w=1260")`) |
s3nh
/ tensor_mapping.py
Created
January 17, 2024 17:05
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| #Add e5-instruct-mistral layers, so they naming is different than | |
| # original mistral instruct one | |
| from __future__ import annotations | |
| from typing import Sequence | |
| from .constants import MODEL_ARCH, MODEL_TENSOR, MODEL_TENSORS, TENSOR_NAMES | |
s3nh
/ gist:cfbbf43f5e9e3cfe8c3e4e2f0d550b80
Last active
January 24, 2024 18:08
custom_embedding_fn_chroma.py
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| import torch | |
| from chromadb import EmbeddingFunction | |
| from typing import List, Dict, Union | |
| from typing import Any, TypeVar | |
| INSTRUCTIONS = { | |
| "qa": { | |
| "query": "Represent this query for retrieving relevant documents: ", | |
| "key": "Represent this document for retrieval: ", |
s3nh
/ grpo_demo.py
Created
February 5, 2025 09:40
— forked from willccbb/grpo_demo.py
GRPO Llama-1B
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| # train_grpo.py | |
| import re | |
| import torch | |
| from datasets import load_dataset, Dataset | |
| from transformers import AutoTokenizer, AutoModelForCausalLM | |
| from peft import LoraConfig | |
| from trl import GRPOConfig, GRPOTrainer | |
| # Load and prep dataset |