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.gitattributes CHANGED
@@ -33,3 +33,15 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ featherless-quants.png filter=lfs diff=lfs merge=lfs -text
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+ shenzhi-wang-Llama3-8B-Chinese-Chat-IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
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+ shenzhi-wang-Llama3-8B-Chinese-Chat-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
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+ shenzhi-wang-Llama3-8B-Chinese-Chat-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ base_model: shenzhi-wang/Llama3-8B-Chinese-Chat
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+ pipeline_tag: text-generation
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+ quantized_by: featherless-ai-quants
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+ ---
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+
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+ # shenzhi-wang/Llama3-8B-Chinese-Chat GGUF Quantizations πŸš€
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+
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+ ![Featherless AI Quants](./featherless-quants.png)
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+
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+ *Optimized GGUF quantization files for enhanced model performance*
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+
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+ ---
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+
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+ ## Available Quantizations πŸ“Š
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+
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+ | Quantization Type | File | Size |
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+ |-------------------|------|------|
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+ | Q8_0 | [shenzhi-wang-Llama3-8B-Chinese-Chat-Q8_0.gguf](https://huggingface.co/featherless-ai-quants/shenzhi-wang-Llama3-8B-Chinese-Chat-GGUF/blob/main/shenzhi-wang-Llama3-8B-Chinese-Chat-Q8_0.gguf) | 8145.11 MB |
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+ | Q4_K_S | [shenzhi-wang-Llama3-8B-Chinese-Chat-Q4_K_S.gguf](https://huggingface.co/featherless-ai-quants/shenzhi-wang-Llama3-8B-Chinese-Chat-GGUF/blob/main/shenzhi-wang-Llama3-8B-Chinese-Chat-Q4_K_S.gguf) | 4475.28 MB |
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+ | Q2_K | [shenzhi-wang-Llama3-8B-Chinese-Chat-Q2_K.gguf](https://huggingface.co/featherless-ai-quants/shenzhi-wang-Llama3-8B-Chinese-Chat-GGUF/blob/main/shenzhi-wang-Llama3-8B-Chinese-Chat-Q2_K.gguf) | 3031.86 MB |
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+ | Q6_K | [shenzhi-wang-Llama3-8B-Chinese-Chat-Q6_K.gguf](https://huggingface.co/featherless-ai-quants/shenzhi-wang-Llama3-8B-Chinese-Chat-GGUF/blob/main/shenzhi-wang-Llama3-8B-Chinese-Chat-Q6_K.gguf) | 6290.44 MB |
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+ | Q3_K_M | [shenzhi-wang-Llama3-8B-Chinese-Chat-Q3_K_M.gguf](https://huggingface.co/featherless-ai-quants/shenzhi-wang-Llama3-8B-Chinese-Chat-GGUF/blob/main/shenzhi-wang-Llama3-8B-Chinese-Chat-Q3_K_M.gguf) | 3832.74 MB |
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+ | Q3_K_S | [shenzhi-wang-Llama3-8B-Chinese-Chat-Q3_K_S.gguf](https://huggingface.co/featherless-ai-quants/shenzhi-wang-Llama3-8B-Chinese-Chat-GGUF/blob/main/shenzhi-wang-Llama3-8B-Chinese-Chat-Q3_K_S.gguf) | 3494.74 MB |
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+ | Q3_K_L | [shenzhi-wang-Llama3-8B-Chinese-Chat-Q3_K_L.gguf](https://huggingface.co/featherless-ai-quants/shenzhi-wang-Llama3-8B-Chinese-Chat-GGUF/blob/main/shenzhi-wang-Llama3-8B-Chinese-Chat-Q3_K_L.gguf) | 4121.74 MB |
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+ | Q4_K_M | [shenzhi-wang-Llama3-8B-Chinese-Chat-Q4_K_M.gguf](https://huggingface.co/featherless-ai-quants/shenzhi-wang-Llama3-8B-Chinese-Chat-GGUF/blob/main/shenzhi-wang-Llama3-8B-Chinese-Chat-Q4_K_M.gguf) | 4692.78 MB |
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+ | Q5_K_S | [shenzhi-wang-Llama3-8B-Chinese-Chat-Q5_K_S.gguf](https://huggingface.co/featherless-ai-quants/shenzhi-wang-Llama3-8B-Chinese-Chat-GGUF/blob/main/shenzhi-wang-Llama3-8B-Chinese-Chat-Q5_K_S.gguf) | 5339.90 MB |
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+ | Q5_K_M | [shenzhi-wang-Llama3-8B-Chinese-Chat-Q5_K_M.gguf](https://huggingface.co/featherless-ai-quants/shenzhi-wang-Llama3-8B-Chinese-Chat-GGUF/blob/main/shenzhi-wang-Llama3-8B-Chinese-Chat-Q5_K_M.gguf) | 5467.40 MB |
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+ | IQ4_XS | [shenzhi-wang-Llama3-8B-Chinese-Chat-IQ4_XS.gguf](https://huggingface.co/featherless-ai-quants/shenzhi-wang-Llama3-8B-Chinese-Chat-GGUF/blob/main/shenzhi-wang-Llama3-8B-Chinese-Chat-IQ4_XS.gguf) | 4276.62 MB |
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+
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+
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+ ---
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+
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+ ## ⚑ Powered by [Featherless AI](https://featherless.ai)
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+
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+ ### Key Features
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+
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+ - πŸ”₯ **Instant Hosting** - Deploy any Llama model on HuggingFace instantly
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+ - πŸ› οΈ **Zero Infrastructure** - No server setup or maintenance required
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+ - πŸ“š **Vast Compatibility** - Support for 2400+ models and counting
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+ - πŸ’Ž **Affordable Pricing** - Starting at just $10/month
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+
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+ ---
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+
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+ **Links:**
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+ [Get Started](https://featherless.ai) | [Documentation](https://featherless.ai/docs) | [Models](https://featherless.ai/models)
featherless-quants.png ADDED

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