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lemon-mint_-_gemma-7b-openhermes-v0.80-gguf

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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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+ gemma-7b-openhermes-v0.80 - GGUF
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+ - Model creator: https://huggingface.co/lemon-mint/
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+ - Original model: https://huggingface.co/lemon-mint/gemma-7b-openhermes-v0.80/
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+
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+ | Name | Quant method | Size |
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+ | ---- | ---- | ---- |
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+ | [gemma-7b-openhermes-v0.80.Q2_K.gguf](https://huggingface.co/RichardErkhov/lemon-mint_-_gemma-7b-openhermes-v0.80-gguf/blob/main/gemma-7b-openhermes-v0.80.Q2_K.gguf) | Q2_K | 3.24GB |
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+ | [gemma-7b-openhermes-v0.80.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/lemon-mint_-_gemma-7b-openhermes-v0.80-gguf/blob/main/gemma-7b-openhermes-v0.80.IQ3_XS.gguf) | IQ3_XS | 3.54GB |
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+ | [gemma-7b-openhermes-v0.80.IQ3_S.gguf](https://huggingface.co/RichardErkhov/lemon-mint_-_gemma-7b-openhermes-v0.80-gguf/blob/main/gemma-7b-openhermes-v0.80.IQ3_S.gguf) | IQ3_S | 3.71GB |
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+ | [gemma-7b-openhermes-v0.80.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/lemon-mint_-_gemma-7b-openhermes-v0.80-gguf/blob/main/gemma-7b-openhermes-v0.80.Q3_K_S.gguf) | Q3_K_S | 3.71GB |
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+ | [gemma-7b-openhermes-v0.80.IQ3_M.gguf](https://huggingface.co/RichardErkhov/lemon-mint_-_gemma-7b-openhermes-v0.80-gguf/blob/main/gemma-7b-openhermes-v0.80.IQ3_M.gguf) | IQ3_M | 3.82GB |
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+ | [gemma-7b-openhermes-v0.80.Q3_K.gguf](https://huggingface.co/RichardErkhov/lemon-mint_-_gemma-7b-openhermes-v0.80-gguf/blob/main/gemma-7b-openhermes-v0.80.Q3_K.gguf) | Q3_K | 4.07GB |
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+ | [gemma-7b-openhermes-v0.80.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/lemon-mint_-_gemma-7b-openhermes-v0.80-gguf/blob/main/gemma-7b-openhermes-v0.80.Q3_K_M.gguf) | Q3_K_M | 4.07GB |
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+ | [gemma-7b-openhermes-v0.80.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/lemon-mint_-_gemma-7b-openhermes-v0.80-gguf/blob/main/gemma-7b-openhermes-v0.80.Q3_K_L.gguf) | Q3_K_L | 4.39GB |
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+ | [gemma-7b-openhermes-v0.80.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/lemon-mint_-_gemma-7b-openhermes-v0.80-gguf/blob/main/gemma-7b-openhermes-v0.80.IQ4_XS.gguf) | IQ4_XS | 4.48GB |
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+ | [gemma-7b-openhermes-v0.80.Q4_0.gguf](https://huggingface.co/RichardErkhov/lemon-mint_-_gemma-7b-openhermes-v0.80-gguf/blob/main/gemma-7b-openhermes-v0.80.Q4_0.gguf) | Q4_0 | 4.67GB |
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+ | [gemma-7b-openhermes-v0.80.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/lemon-mint_-_gemma-7b-openhermes-v0.80-gguf/blob/main/gemma-7b-openhermes-v0.80.IQ4_NL.gguf) | IQ4_NL | 4.69GB |
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+ | [gemma-7b-openhermes-v0.80.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/lemon-mint_-_gemma-7b-openhermes-v0.80-gguf/blob/main/gemma-7b-openhermes-v0.80.Q4_K_S.gguf) | Q4_K_S | 4.7GB |
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+ | [gemma-7b-openhermes-v0.80.Q4_K.gguf](https://huggingface.co/RichardErkhov/lemon-mint_-_gemma-7b-openhermes-v0.80-gguf/blob/main/gemma-7b-openhermes-v0.80.Q4_K.gguf) | Q4_K | 4.96GB |
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+ | [gemma-7b-openhermes-v0.80.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/lemon-mint_-_gemma-7b-openhermes-v0.80-gguf/blob/main/gemma-7b-openhermes-v0.80.Q4_K_M.gguf) | Q4_K_M | 4.96GB |
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+ | [gemma-7b-openhermes-v0.80.Q4_1.gguf](https://huggingface.co/RichardErkhov/lemon-mint_-_gemma-7b-openhermes-v0.80-gguf/blob/main/gemma-7b-openhermes-v0.80.Q4_1.gguf) | Q4_1 | 5.12GB |
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+ | [gemma-7b-openhermes-v0.80.Q5_0.gguf](https://huggingface.co/RichardErkhov/lemon-mint_-_gemma-7b-openhermes-v0.80-gguf/blob/main/gemma-7b-openhermes-v0.80.Q5_0.gguf) | Q5_0 | 5.57GB |
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+ | [gemma-7b-openhermes-v0.80.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/lemon-mint_-_gemma-7b-openhermes-v0.80-gguf/blob/main/gemma-7b-openhermes-v0.80.Q5_K_S.gguf) | Q5_K_S | 5.57GB |
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+ | [gemma-7b-openhermes-v0.80.Q5_K.gguf](https://huggingface.co/RichardErkhov/lemon-mint_-_gemma-7b-openhermes-v0.80-gguf/blob/main/gemma-7b-openhermes-v0.80.Q5_K.gguf) | Q5_K | 5.72GB |
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+ | [gemma-7b-openhermes-v0.80.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/lemon-mint_-_gemma-7b-openhermes-v0.80-gguf/blob/main/gemma-7b-openhermes-v0.80.Q5_K_M.gguf) | Q5_K_M | 5.72GB |
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+ | [gemma-7b-openhermes-v0.80.Q5_1.gguf](https://huggingface.co/RichardErkhov/lemon-mint_-_gemma-7b-openhermes-v0.80-gguf/blob/main/gemma-7b-openhermes-v0.80.Q5_1.gguf) | Q5_1 | 6.02GB |
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+ | [gemma-7b-openhermes-v0.80.Q6_K.gguf](https://huggingface.co/RichardErkhov/lemon-mint_-_gemma-7b-openhermes-v0.80-gguf/blob/main/gemma-7b-openhermes-v0.80.Q6_K.gguf) | Q6_K | 6.53GB |
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+ | [gemma-7b-openhermes-v0.80.Q8_0.gguf](https://huggingface.co/RichardErkhov/lemon-mint_-_gemma-7b-openhermes-v0.80-gguf/blob/main/gemma-7b-openhermes-v0.80.Q8_0.gguf) | Q8_0 | 8.45GB |
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+ Original model description:
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+ ---
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+ library_name: transformers
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+ language:
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+ - en
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+ license: gemma
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+ tags:
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+ - gemma
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+ - pytorch
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+ - instruct
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+ - finetune
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+ base_model: google/gemma-1.1-7b-it
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+ pipeline_tag: text-generation
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+ datasets:
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+ - teknium/OpenHermes-2.5
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+ ---
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+
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+
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+ # Gemma 7B OpenHermes v0.80
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+
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+ - Eval Loss: `0.4544`
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+ - Train Loss: `0.3129`
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+ - lr: `5e-5`
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+ - optimizer: adamw
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+ - lr_scheduler_type: cosine
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+
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+ ## Model Details
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+ This is an instruction-following model finetuned from the Gemma 1.1 7B model. It was finetuned on the OpenHermes-2.5 dataset to improve its ability to engage in open-ended conversation and respond helpfully to user instructions and queries. The model can engage in dialogue, answer questions, and assist with a variety of tasks.
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+
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+ ### Model Description
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+ - **Developed by:** `lemon-mint`
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+ - **Model type:** Gemma
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+ - **Language(s) (NLP):** English
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+ - **License:** [gemma-terms-of-use](https://ai.google.dev/gemma/terms)
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+ - **Finetuned from model:** [google/gemma-1.1-7b-it](https://huggingface.co/google/gemma-1.1-7b-it)
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+
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+ # Limitations and Ethical Considerations
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+ As Gemma 7B OpenHermes has been trained on extensive web data, biases present in the training data may be reflected in the model. Additionally, there is a possibility that it may generate sentences containing errors or incorrect information. Therefore, rather than blindly trusting the model's output, it is necessary to refer to it with caution.
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