afrizalha
/

Bakpia-V1-9B-Javanese-fp16

@@ -1,202 +1,82 @@
 ---
-library_name: transformers
 tags:
 - unsloth
 - trl
 - sft
 ---
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 ---
+language:
+- jv
+license: apache-2.0
 tags:
+- text-generation-inference
+- transformers
 - unsloth
+- qwen2
 - trl
 - sft
 ---
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Document Title</title>
+    <style>
+        h1 {
+            font-size: 36px;
+            color: navy;
+            font-family: 'Tahoma';
+            text-align: center;
+        }
+    </style>
+</head>
+<body>
+    <h1> Open models for indigenous Indonesian languages</h1>
+</body>
+</html>
+<center>
+    <img src="https://imgur.com/R91sZas.png" alt="Bakpia" width="500" height="250">
+    <p><em>Bakpia is a family of open language models capable of responding in Javanese language. Version one of Bakpia is the first generative Javanese LLM gain functional instruction performance using solely synthetic data.</em></p>
+    <p><em style="color: black; font-weight: bold;">Beta preview</em></p>
+</center>
+Bakpia V1 is a family of Javanese language models. It is fine-tuned from available open models using massive synthetic data for Krama Javanese, where the prompts are generated by GPT-4o and the responses are generated by Claude 3 Haiku.
+This repository contains the fp16 version of Bakpia V1.
+| Version | Base Model | URL |
+|---------|------------|-----|
+| V1 0.5B | Qwen 2 0.5B Instruct | [fp16](huggingface.co/afrizalha/Bakpia-V1-0.5B-Javanese/) |
+| V1 1.5B | Qwen 2 1.5B Instruct | [fp16](huggingface.co/afrizalha/Bakpia-V1-1.5B-Javanese/) |
+| V1 9B | Gemma 2 9B Instruct | [fp16](huggingface.co/afrizalha/Bakpia-V1-9B-Javanese-fp16)/[4bit](huggingface.co/afrizalha/Bakpia-V1-9B-Javanese-4bit/) |
+## Version 1.0
+This is the first version of Bakpia.
+✨ Training
+- 36K input-output pairs
+- 64/128 lora r/alpha
+- Rank-stabilized lora
+✨ Features
+- Single-turn QA across various domains.
+- Ngoko Javanese not currently supported.
+## Use
+```
+from transformers import AutoTokenizer, AutoModelForCausalLM
+tokenizer = AutoTokenizer.from_pretrained("afrizalha/Bakpia-V1-9B-Javanese-fp16")
+model = AutoModelForCausalLM.from_pretrained("afrizalha/Bakpia-V1-9B-Javanese-fp16")
+template = """<start_of_turn>user
+{prompt}<end_of_turn>
+<start_of_turn>model
+"""
+input = template.format(prompt="Kados pundi kulo saged nyinaoni Basa Jawa kanthi sae?"
+input = tokenizer([input], return_tensors = "pt").to("cuda")
+outputs = model.generate(**input, max_new_tokens = 1024, temperature=.5, use_cache=False, do_sample=True)
+print(tokenizer.batch_decode(outputs)[0])
+```
+## Uploaded  model
+- **Developed by:** Afrizal Hasbi Azizy
+- **License:** apache-2.0