umarigan
/

TURKCELL-LLM-7B-openhermes

@@ -1,207 +1,53 @@
 ---
-library_name: transformers
 tags:
 - unsloth
 - trl
 - sft
-license: creativeml-openrail-m
 datasets:
 - umarigan/openhermes_tr
-language:
-- tr
 ---
-# Model Card for Model ID
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 ---
+language:
+- en
+- tr
+license: apache-2.0
 tags:
+- text-generation-inference
+- transformers
 - unsloth
+- mistral
 - trl
 - sft
+base_model: TURKCELL/Turkcell-LLM-7b-v1
 datasets:
 - umarigan/openhermes_tr
+library_name: adapter-transformers
 ---
+# Uploaded  model
+- **Developed by:** umarigan
+- **License:** apache-2.0
+- **Finetuned from model :** TURKCELL/Turkcell-LLM-7b-v1
+This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+This  model is fine-tuned version of Trendyol chat v1.0 on openhermes dataset. The dataset translated from English to Turkish lanuage and trained by unsloth's mistral scripts.
+Usage:
+```
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+pipe = pipeline("text-generation",
+                model="umarigan/TURKCELL-LLM-7B-openhermes",
+                #use_flash_attention_2=True
+                )
+# Generate text
+q = "Weng bebek bakıcılığından saatte 12 dolar kazanıyor. Dün sadece 50 dakika bebek bakıcılığı yaptı. Ne kadar kazandı?"
+sequences_rlhf = pipe(
+    q,
+    do_sample=True,
+    temperature=0.7,
+    top_p=0.9,
+    num_return_sequences=1,
+    max_length=2048,
+)
+sequences_rlhf[0]['generated_text']
+```