RichardErkhov
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README.md
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Quantization made by Richard Erkhov.
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[Github](https://github.com/RichardErkhov)
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[Discord](https://discord.gg/pvy7H8DZMG)
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[Request more models](https://github.com/RichardErkhov/quant_request)
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Boundary-Solar-Chat-2x10.7B-MoE - GGUF
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- Model creator: https://huggingface.co/NotAiLOL/
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- Original model: https://huggingface.co/NotAiLOL/Boundary-Solar-Chat-2x10.7B-MoE/
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| Name | Quant method | Size |
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| ---- | ---- | ---- |
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| [Boundary-Solar-Chat-2x10.7B-MoE.Q2_K.gguf](https://huggingface.co/RichardErkhov/NotAiLOL_-_Boundary-Solar-Chat-2x10.7B-MoE-gguf/blob/main/Boundary-Solar-Chat-2x10.7B-MoE.Q2_K.gguf) | Q2_K | 6.58GB |
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| [Boundary-Solar-Chat-2x10.7B-MoE.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/NotAiLOL_-_Boundary-Solar-Chat-2x10.7B-MoE-gguf/blob/main/Boundary-Solar-Chat-2x10.7B-MoE.IQ3_XS.gguf) | IQ3_XS | 7.34GB |
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| [Boundary-Solar-Chat-2x10.7B-MoE.IQ3_S.gguf](https://huggingface.co/RichardErkhov/NotAiLOL_-_Boundary-Solar-Chat-2x10.7B-MoE-gguf/blob/main/Boundary-Solar-Chat-2x10.7B-MoE.IQ3_S.gguf) | IQ3_S | 7.75GB |
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| [Boundary-Solar-Chat-2x10.7B-MoE.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/NotAiLOL_-_Boundary-Solar-Chat-2x10.7B-MoE-gguf/blob/main/Boundary-Solar-Chat-2x10.7B-MoE.Q3_K_S.gguf) | Q3_K_S | 7.73GB |
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| [Boundary-Solar-Chat-2x10.7B-MoE.IQ3_M.gguf](https://huggingface.co/RichardErkhov/NotAiLOL_-_Boundary-Solar-Chat-2x10.7B-MoE-gguf/blob/main/Boundary-Solar-Chat-2x10.7B-MoE.IQ3_M.gguf) | IQ3_M | 7.94GB |
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| [Boundary-Solar-Chat-2x10.7B-MoE.Q3_K.gguf](https://huggingface.co/RichardErkhov/NotAiLOL_-_Boundary-Solar-Chat-2x10.7B-MoE-gguf/blob/main/Boundary-Solar-Chat-2x10.7B-MoE.Q3_K.gguf) | Q3_K | 8.59GB |
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| [Boundary-Solar-Chat-2x10.7B-MoE.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/NotAiLOL_-_Boundary-Solar-Chat-2x10.7B-MoE-gguf/blob/main/Boundary-Solar-Chat-2x10.7B-MoE.Q3_K_M.gguf) | Q3_K_M | 8.59GB |
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| [Boundary-Solar-Chat-2x10.7B-MoE.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/NotAiLOL_-_Boundary-Solar-Chat-2x10.7B-MoE-gguf/blob/main/Boundary-Solar-Chat-2x10.7B-MoE.Q3_K_L.gguf) | Q3_K_L | 9.32GB |
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| [Boundary-Solar-Chat-2x10.7B-MoE.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/NotAiLOL_-_Boundary-Solar-Chat-2x10.7B-MoE-gguf/blob/main/Boundary-Solar-Chat-2x10.7B-MoE.IQ4_XS.gguf) | IQ4_XS | 9.66GB |
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| [Boundary-Solar-Chat-2x10.7B-MoE.Q4_0.gguf](https://huggingface.co/RichardErkhov/NotAiLOL_-_Boundary-Solar-Chat-2x10.7B-MoE-gguf/blob/main/Boundary-Solar-Chat-2x10.7B-MoE.Q4_0.gguf) | Q4_0 | 10.09GB |
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| [Boundary-Solar-Chat-2x10.7B-MoE.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/NotAiLOL_-_Boundary-Solar-Chat-2x10.7B-MoE-gguf/blob/main/Boundary-Solar-Chat-2x10.7B-MoE.IQ4_NL.gguf) | IQ4_NL | 10.19GB |
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| [Boundary-Solar-Chat-2x10.7B-MoE.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/NotAiLOL_-_Boundary-Solar-Chat-2x10.7B-MoE-gguf/blob/main/Boundary-Solar-Chat-2x10.7B-MoE.Q4_K_S.gguf) | Q4_K_S | 10.17GB |
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| [Boundary-Solar-Chat-2x10.7B-MoE.Q4_K.gguf](https://huggingface.co/RichardErkhov/NotAiLOL_-_Boundary-Solar-Chat-2x10.7B-MoE-gguf/blob/main/Boundary-Solar-Chat-2x10.7B-MoE.Q4_K.gguf) | Q4_K | 10.79GB |
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| [Boundary-Solar-Chat-2x10.7B-MoE.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/NotAiLOL_-_Boundary-Solar-Chat-2x10.7B-MoE-gguf/blob/main/Boundary-Solar-Chat-2x10.7B-MoE.Q4_K_M.gguf) | Q4_K_M | 10.79GB |
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| [Boundary-Solar-Chat-2x10.7B-MoE.Q4_1.gguf](https://huggingface.co/RichardErkhov/NotAiLOL_-_Boundary-Solar-Chat-2x10.7B-MoE-gguf/blob/main/Boundary-Solar-Chat-2x10.7B-MoE.Q4_1.gguf) | Q4_1 | 11.2GB |
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| [Boundary-Solar-Chat-2x10.7B-MoE.Q5_0.gguf](https://huggingface.co/RichardErkhov/NotAiLOL_-_Boundary-Solar-Chat-2x10.7B-MoE-gguf/blob/main/Boundary-Solar-Chat-2x10.7B-MoE.Q5_0.gguf) | Q5_0 | 12.3GB |
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| [Boundary-Solar-Chat-2x10.7B-MoE.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/NotAiLOL_-_Boundary-Solar-Chat-2x10.7B-MoE-gguf/blob/main/Boundary-Solar-Chat-2x10.7B-MoE.Q5_K_S.gguf) | Q5_K_S | 12.3GB |
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| [Boundary-Solar-Chat-2x10.7B-MoE.Q5_K.gguf](https://huggingface.co/RichardErkhov/NotAiLOL_-_Boundary-Solar-Chat-2x10.7B-MoE-gguf/blob/main/Boundary-Solar-Chat-2x10.7B-MoE.Q5_K.gguf) | Q5_K | 12.67GB |
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| [Boundary-Solar-Chat-2x10.7B-MoE.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/NotAiLOL_-_Boundary-Solar-Chat-2x10.7B-MoE-gguf/blob/main/Boundary-Solar-Chat-2x10.7B-MoE.Q5_K_M.gguf) | Q5_K_M | 12.67GB |
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| [Boundary-Solar-Chat-2x10.7B-MoE.Q5_1.gguf](https://huggingface.co/RichardErkhov/NotAiLOL_-_Boundary-Solar-Chat-2x10.7B-MoE-gguf/blob/main/Boundary-Solar-Chat-2x10.7B-MoE.Q5_1.gguf) | Q5_1 | 13.41GB |
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| [Boundary-Solar-Chat-2x10.7B-MoE.Q6_K.gguf](https://huggingface.co/RichardErkhov/NotAiLOL_-_Boundary-Solar-Chat-2x10.7B-MoE-gguf/blob/main/Boundary-Solar-Chat-2x10.7B-MoE.Q6_K.gguf) | Q6_K | 14.66GB |
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| [Boundary-Solar-Chat-2x10.7B-MoE.Q8_0.gguf](https://huggingface.co/RichardErkhov/NotAiLOL_-_Boundary-Solar-Chat-2x10.7B-MoE-gguf/blob/main/Boundary-Solar-Chat-2x10.7B-MoE.Q8_0.gguf) | Q8_0 | 18.99GB |
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Original model description:
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---
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license: apache-2.0
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tags:
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- moe
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- merge
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- mergekit
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- NousResearch/Nous-Hermes-2-SOLAR-10.7B
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- upstage/SOLAR-10.7B-Instruct-v1.0
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- llama
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- Llama
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base_model:
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- NousResearch/Nous-Hermes-2-SOLAR-10.7B
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- upstage/SOLAR-10.7B-Instruct-v1.0
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---
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# Boundary-Solar-Chat-2x10.7B-MoE
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Boundary-Solar-Chat-2x10.7B-MoE is a Mixture of Experts (MoE) made with the following models:
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* [NousResearch/Nous-Hermes-2-SOLAR-10.7B](https://huggingface.co/NousResearch/Nous-Hermes-2-SOLAR-10.7B)
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* [upstage/SOLAR-10.7B-Instruct-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-Instruct-v1.0)
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## 🧩 Configuration
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```yaml
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base_model: NousResearch/Nous-Hermes-2-SOLAR-10.7B
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dtype: float16
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gate_mode: cheap_embed
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experts:
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- source_model: NousResearch/Nous-Hermes-2-SOLAR-10.7B
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positive_prompts: ["You are a helpful general assistant."]
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- source_model: upstage/SOLAR-10.7B-Instruct-v1.0
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positive_prompts: ["You are assistant for question and answering."]
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```
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## 💻 Usage
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```python
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!pip install -qU transformers bitsandbytes accelerate
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from transformers import AutoTokenizer
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import transformers
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import torch
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model = "NotAiLOL/Boundary-Solar-Chat-2x10.7B-MoE"
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tokenizer = AutoTokenizer.from_pretrained(model)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
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)
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messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
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prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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