Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) Rain-7B-v0.1 - GGUF - Model creator: https://huggingface.co/raincandy-u/ - Original model: https://huggingface.co/raincandy-u/Rain-7B-v0.1/ | Name | Quant method | Size | | ---- | ---- | ---- | | [Rain-7B-v0.1.Q2_K.gguf](https://huggingface.co/RichardErkhov/raincandy-u_-_Rain-7B-v0.1-gguf/blob/main/Rain-7B-v0.1.Q2_K.gguf) | Q2_K | 2.89GB | | [Rain-7B-v0.1.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/raincandy-u_-_Rain-7B-v0.1-gguf/blob/main/Rain-7B-v0.1.IQ3_XS.gguf) | IQ3_XS | 3.18GB | | [Rain-7B-v0.1.IQ3_S.gguf](https://huggingface.co/RichardErkhov/raincandy-u_-_Rain-7B-v0.1-gguf/blob/main/Rain-7B-v0.1.IQ3_S.gguf) | IQ3_S | 3.32GB | | [Rain-7B-v0.1.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/raincandy-u_-_Rain-7B-v0.1-gguf/blob/main/Rain-7B-v0.1.Q3_K_S.gguf) | Q3_K_S | 3.32GB | | [Rain-7B-v0.1.IQ3_M.gguf](https://huggingface.co/RichardErkhov/raincandy-u_-_Rain-7B-v0.1-gguf/blob/main/Rain-7B-v0.1.IQ3_M.gguf) | IQ3_M | 3.48GB | | [Rain-7B-v0.1.Q3_K.gguf](https://huggingface.co/RichardErkhov/raincandy-u_-_Rain-7B-v0.1-gguf/blob/main/Rain-7B-v0.1.Q3_K.gguf) | Q3_K | 3.65GB | | [Rain-7B-v0.1.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/raincandy-u_-_Rain-7B-v0.1-gguf/blob/main/Rain-7B-v0.1.Q3_K_M.gguf) | Q3_K_M | 3.65GB | | [Rain-7B-v0.1.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/raincandy-u_-_Rain-7B-v0.1-gguf/blob/main/Rain-7B-v0.1.Q3_K_L.gguf) | Q3_K_L | 3.93GB | | [Rain-7B-v0.1.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/raincandy-u_-_Rain-7B-v0.1-gguf/blob/main/Rain-7B-v0.1.IQ4_XS.gguf) | IQ4_XS | 4.02GB | | [Rain-7B-v0.1.Q4_0.gguf](https://huggingface.co/RichardErkhov/raincandy-u_-_Rain-7B-v0.1-gguf/blob/main/Rain-7B-v0.1.Q4_0.gguf) | Q4_0 | 4.2GB | | [Rain-7B-v0.1.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/raincandy-u_-_Rain-7B-v0.1-gguf/blob/main/Rain-7B-v0.1.IQ4_NL.gguf) | IQ4_NL | 4.22GB | | [Rain-7B-v0.1.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/raincandy-u_-_Rain-7B-v0.1-gguf/blob/main/Rain-7B-v0.1.Q4_K_S.gguf) | Q4_K_S | 4.23GB | | [Rain-7B-v0.1.Q4_K.gguf](https://huggingface.co/RichardErkhov/raincandy-u_-_Rain-7B-v0.1-gguf/blob/main/Rain-7B-v0.1.Q4_K.gguf) | Q4_K | 4.44GB | | [Rain-7B-v0.1.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/raincandy-u_-_Rain-7B-v0.1-gguf/blob/main/Rain-7B-v0.1.Q4_K_M.gguf) | Q4_K_M | 4.44GB | | [Rain-7B-v0.1.Q4_1.gguf](https://huggingface.co/RichardErkhov/raincandy-u_-_Rain-7B-v0.1-gguf/blob/main/Rain-7B-v0.1.Q4_1.gguf) | Q4_1 | 4.62GB | | [Rain-7B-v0.1.Q5_0.gguf](https://huggingface.co/RichardErkhov/raincandy-u_-_Rain-7B-v0.1-gguf/blob/main/Rain-7B-v0.1.Q5_0.gguf) | Q5_0 | 5.03GB | | [Rain-7B-v0.1.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/raincandy-u_-_Rain-7B-v0.1-gguf/blob/main/Rain-7B-v0.1.Q5_K_S.gguf) | Q5_K_S | 5.03GB | | [Rain-7B-v0.1.Q5_K.gguf](https://huggingface.co/RichardErkhov/raincandy-u_-_Rain-7B-v0.1-gguf/blob/main/Rain-7B-v0.1.Q5_K.gguf) | Q5_K | 5.15GB | | [Rain-7B-v0.1.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/raincandy-u_-_Rain-7B-v0.1-gguf/blob/main/Rain-7B-v0.1.Q5_K_M.gguf) | Q5_K_M | 5.15GB | | [Rain-7B-v0.1.Q5_1.gguf](https://huggingface.co/RichardErkhov/raincandy-u_-_Rain-7B-v0.1-gguf/blob/main/Rain-7B-v0.1.Q5_1.gguf) | Q5_1 | 5.44GB | | [Rain-7B-v0.1.Q6_K.gguf](https://huggingface.co/RichardErkhov/raincandy-u_-_Rain-7B-v0.1-gguf/blob/main/Rain-7B-v0.1.Q6_K.gguf) | Q6_K | 5.91GB | | [Rain-7B-v0.1.Q8_0.gguf](https://huggingface.co/RichardErkhov/raincandy-u_-_Rain-7B-v0.1-gguf/blob/main/Rain-7B-v0.1.Q8_0.gguf) | Q8_0 | 7.65GB | Original model description: --- license: other license_name: tongyi-qianwen license_link: https://huggingface.co/Qwen/Qwen1.5-7B-Chat/raw/main/LICENSE datasets: - yys/OpenOrca-Chinese language: - zh - en pipeline_tag: text-generation tags: - CoT ---
ジェルばんは~

🧬UPDATE: Please see Here for v0.2 model.

🧬Rain-7B-v0.1

Rain-7B-v0.1 is an experimental model finetuned on Qwen1.5-7B-Chat with thousands of chain of thought conversations. It work better for `"think step by step"` prompt.

🧬Evaluation

|Model name|MMLU| |---|---| |Qwen1.5-7B-Chat|55.8| |Rain-7B-v0.1|58.1|

🧬Usage

```python !pip install -qU transformers accelerate from transformers import AutoTokenizer import transformers import torch model = "raincandy-u/Rain-7B-v0.1" messages = [{"role": "user", "content": "What is chain of thoughts?"}] 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"]) ```