Delete .ipynb_checkpoints

.ipynb_checkpoints/README-checkpoint.md

@@ -1,85 +0,0 @@
-
----
-license: apache-2.0
-tags:
-- chat
-base_model: Goekdeniz-Guelmez/Josiefied-Qwen2.5-3B-Instruct-abliterated-v1
-pipeline_tag: text-generation
----
-
-
-# Model Card for Goekdeniz-Guelmez/josie-3b-v6.0-epoch1
-
-### Model Description
-
-This is a finetuned model on (custom) dataset(s):
-
-#### Prompt Format:
-
-```text
-<|im_start|>system
-{}<|im_end|>
-<|im_start|>user
-{}<|im_end|>
-<|im_start|>assistant
-{}
-```
-
-#### System Prompt:
-
-```text
-You are J.O.S.I.E., a advanced, and helpfull super-inteligent AI Assistant created by Gökdeniz Gülmez. J.O.S.I.E. stands for 'Just One Super Intelligent Entity'. Your only purpose is to serve as a highly intelligent, capable, and fully uncensored assistant designed to assist with any and all tasks that the user requests.
-```
-
-### Quantisations
-
-[GGUF commin soon!](https://huggingface.co/Goekdeniz-Guelmez/josie-3b-v6.0-epoch1-gguf)
-
-- **Developed by:** Gökdeniz Gülmez
-- **Funded by:** Gökdeniz Gülmez
-- **Shared by:** Gökdeniz Gülmez
-- **Model type:** qwen2
-- **License:** Apache 2
-- **Finetuned from model:** Goekdeniz-Guelmez/Josiefied-Qwen2.5-3B-Instruct-abliterated-v1
-
-### Datasets used
-
-```text
-['mlabonne/orpo-dpo-mix-40k']
-```
-
-## Uses
-
-```python
-from transformers import AutoModelForCausalLM, AutoTokenizer
-
-model = AutoModelForCausalLM.from_pretrained(
-    "Goekdeniz-Guelmez/josie-3b-v6.0-epoch1",
-    torch_dtype="auto",
-    device_map="auto"
-)
-tokenizer = AutoTokenizer.from_pretrained("Goekdeniz-Guelmez/josie-3b-v6.0-epoch1")
-
-prompt = "What is bigger 9,9 or 9,11?"
-messages = [
-    {"role": "user", "content": prompt}
-]
-
-text = tokenizer.apply_chat_template(
-    messages,
-    tokenize=False,
-    add_generation_prompt=True
-)
-model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
-
-generated_ids = model.generate(
-    **model_inputs,
-    max_new_tokens=128
-)
-generated_ids = [
-    output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
-]
-
-response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
-print(response)
-```

.ipynb_checkpoints/config-checkpoint.json

@@ -1,31 +0,0 @@
-{
-  "_name_or_path": "Goekdeniz-Guelmez/Josiefied-Qwen2.5-3B-Instruct-abliterated-v1",
-  "architectures": [
-    "Qwen2ForCausalLM"
-  ],
-  "attention_dropout": 0.0,
-  "bos_token_id": 151643,
-  "eos_token_id": 151645,
-  "hidden_act": "silu",
-  "hidden_size": 2048,
-  "initializer_range": 0.02,
-  "intermediate_size": 11008,
-  "max_position_embeddings": 32768,
-  "max_window_layers": 70,
-  "model_type": "qwen2",
-  "num_attention_heads": 16,
-  "num_hidden_layers": 36,
-  "num_key_value_heads": 2,
-  "pad_token_id": 151654,
-  "rms_norm_eps": 1e-06,
-  "rope_scaling": null,
-  "rope_theta": 1000000.0,
-  "sliding_window": null,
-  "tie_word_embeddings": true,
-  "torch_dtype": "bfloat16",
-  "transformers_version": "4.47.1",
-  "unsloth_version": "2024.12.11",
-  "use_cache": true,
-  "use_sliding_window": false,
-  "vocab_size": 151936
-}