Update README.md

README.md

@@ -1,63 +1,24 @@
 ---
 tags:
-- merge
-- mergekit
-- lazymergekit
-- SanjiWatsuki/Kunoichi-DPO-v2-7B
-- mlabonne/NeuralBeagle14-7B
+- GGUF
 base_model:
-- SanjiWatsuki/Kunoichi-DPO-v2-7B
-- mlabonne/NeuralBeagle14-7B
+- seyf1elislam/KunaiBeagle-7b
 ---
-
 # KunaiBeagle-7b
-
-KunaiBeagle-7b is a merge of the following models using LazyMergekit:
-* [SanjiWatsuki/Kunoichi-DPO-v2-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B)
-* [mlabonne/NeuralBeagle14-7B](https://huggingface.co/mlabonne/NeuralBeagle14-7B)
-
-## 🧩 Configuration
-
-```yaml
-models:
-  - model: mistralai/Mistral-7B-v0.1
-    # No parameters necessary for base model
-  - model: SanjiWatsuki/Kunoichi-DPO-v2-7B
-    parameters:
-      weight: 0.4
-      density: 0.6
-  - model: mlabonne/NeuralBeagle14-7B
-    parameters:
-      weight: 0.4
-      density: 0.6
-merge_method: dare_ties
-base_model: mistralai/Mistral-7B-v0.1
-parameters:
-  int8_mask: true
-dtype: bfloat16
-```
-
-## 💻 Usage
-
-```python
-!pip install -qU transformers accelerate
-
-from transformers import AutoTokenizer
-import transformers
-import torch
-
-model = "seyf1elislam/KunaiBeagle-7b"
-messages = [{"role": "user", "content": "What is a large language model?"}]
-
-tokenizer = AutoTokenizer.from_pretrained(model)
-prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
-pipeline = transformers.pipeline(
-    "text-generation",
-    model=model,
-    torch_dtype=torch.float16,
-    device_map="auto",
-)
-
-outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
-print(outputs[0]["generated_text"])
-```
+- Model creator: [seyf1elislam](https://huggingface.co/seyf1elislam)
+- Original model: [KunaiBeagle-7b](https://huggingface.co/seyf1elislam/KunaiBeagle-7b)
+
+<!-- description start -->
+## Description
+This repo contains GGUF format model files for [seyf1elislam's KunaiBeagle-7b ](https://huggingface.co/seyf1elislam/KunaiBeagle-7b).
+
+## Provided files
+
+| Name | Quant method | Bits | Size | Max RAM required | Use case |
+| ---- | ---- | ---- | ---- | ---- | ----- |
+| [kunaibeagle-7b.Q2_K.gguf   ](https://huggingface.co/seyf1elislam/KunaiBeagle-7b-GGUF/blob/main/kunaibeagle-7b.Q2_K.gguf   ) | Q2_K   | 2 | 2.72 GB| 5.22 GB | significant quality loss - not recommended for most purposes |
+| [kunaibeagle-7b.Q3_K_M.gguf ](https://huggingface.co/seyf1elislam/KunaiBeagle-7b-GGUF/blob/main/kunaibeagle-7b.Q3_K_M.gguf ) | Q3_K_M | 3 | 3.52 GB| 6.02 GB | very small, high quality loss |
+| [kunaibeagle-7b.Q4_K_M.gguf ](https://huggingface.co/seyf1elislam/KunaiBeagle-7b-GGUF/blob/main/kunaibeagle-7b.Q4_K_M.gguf ) | Q4_K_M | 4 | 4.37 GB| 6.87 GB | medium, balanced quality - recommended |
+| [kunaibeagle-7b.Q5_K_M.gguf ](https://huggingface.co/seyf1elislam/KunaiBeagle-7b-GGUF/blob/main/kunaibeagle-7b.Q5_K_M.gguf ) | Q5_K_M | 5 | 5.13 GB| 7.63 GB | large, very low quality loss - recommended |
+| [kunaibeagle-7b.Q6_K.gguf   ](https://huggingface.co/seyf1elislam/KunaiBeagle-7b-GGUF/blob/main/kunaibeagle-7b.Q6_K.gguf   ) | Q6_K   | 6 | 5.94 GB| 8.44 GB | very large, extremely low quality loss |
+| [kunaibeagle-7b.Q8_0.gguf   ](https://huggingface.co/seyf1elislam/KunaiBeagle-7b-GGUF/blob/main/kunaibeagle-7b.Q8_0.gguf   ) | Q8_0   | 8 | 7.70 GB| 10.20 GB | very large, extremely low quality loss - not recommended |