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README.md
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pipeline_tag: text-generation
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---
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#
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# Fixing prompt format issues
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- Use iMatrix for Llama 3 prompt format on Q4 and below, or try Q4_K_M fixed
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- Use ChatML for Q6 and below
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- Use
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# Issues
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- Context length is not defined correctly in quant, not sure if this is a llama.cpp issue
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This model was converted to GGUF format from [`gradientai/Llama-3-8B-Instruct-Gradient-4194k`](https://huggingface.co/gradientai/Llama-3-8B-Instruct-Gradient-4194k) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/gradientai/Llama-3-8B-Instruct-Gradient-4194k) for more details on the model.
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| Filename | Quant | Size | Description |
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| -------- | ---------- | --------- | ----------- |
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| [llama-3-8b-instruct-gradient-4194k.Q8_0.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q8_0.gguf) | Q8_0 | 8.54GB | Extremely high quality |
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| [llama-3-8b-instruct-gradient-4194k.Q6_K.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q6_K.gguf) | Q6_K | 6.60GB | Very high quality, near perfect, *recommended*. |
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| [llama-3-8b-instruct-gradient-4194k.Q5_K_M.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q5_K_M.gguf) | Q5_K_M | 5.73GB | High quality |
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| [llama-3-8b-instruct-gradient-4194k.Q5_K_S.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q5_K_S.gguf) | Q5_K_S | 5.60GB | Even higher quality |
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| [llama-3-8b-instruct-gradient-4194k.Q4_K_M.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q4_K_M.gguf) | Q4_K_M | 4.92GB | Recommended, medium-high quality |
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| [llama-3-8b-instruct-gradient-4194k.Q4_K_S.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q4_K_S.gguf) | Q4_K_S | 4.69GB | Recommended, medium quality |
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| [llama-3-8b-instruct-gradient-4194k.Q4_0.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q4_0.gguf) | Q4_0 | 4.66GB | Usable, better than Q3 but worse than Q4 |
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| [llama-3-8b-instruct-gradient-4194k.Q3_K_L.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q3_K_L.gguf) | Q3_K_L | 4.32GB | Usable |
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pipeline_tag: text-generation
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---
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# Llama-3-8B-Instruct-Gradient-4194k-GGUF
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# Fixing prompt format issues
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- ~~Use iMatrix for Llama 3 prompt format on Q4 and below, or try Q4_K_M fixed~~
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- ~~Use ChatML for Q6 and below~~
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- Use Llama 3, see issues
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# Issues
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- Context length is not defined correctly in quant, not sure if this is a llama.cpp issue
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- Output ends with </s> or other EOS tokens, might be an issue with their training data
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This model was converted to GGUF format from [`gradientai/Llama-3-8B-Instruct-Gradient-4194k`](https://huggingface.co/gradientai/Llama-3-8B-Instruct-Gradient-4194k) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/gradientai/Llama-3-8B-Instruct-Gradient-4194k) for more details on the model.
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| Filename | Quant | Size | Description |
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| -------- | ---------- | --------- | ----------- |
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| [llama-3-8b-instruct-gradient-4194k.f16.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.f16.gguf) | f16 | 14.9GB | Lossless |
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| [llama-3-8b-instruct-gradient-4194k.Q8_0.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q8_0.gguf) | Q8_0 | 8.54GB | Extremely high quality |
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| [llama-3-8b-instruct-gradient-4194k.Q6_K.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q6_K.gguf) | Q6_K | 6.60GB | Very high quality, near perfect, *recommended*. |
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| [llama-3-8b-instruct-gradient-4194k.Q5_K_M.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q5_K_M.gguf) | Q5_K_M | 5.73GB | High quality |
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| [llama-3-8b-instruct-gradient-4194k.Q5_K_S.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q5_K_S.gguf) | Q5_K_S | 5.60GB | Even higher quality |
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| [llama-3-8b-instruct-gradient-4194k.Q4_K_M.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q4_K_M.gguf) | Q4_K_M | 4.92GB | Recommended, medium-high quality |
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| [llama-3-8b-instruct-gradient-4194k.Q4_K_M.fixed.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q4_K_M.fixed.gguf) | Q4_K_M (fixed) | 4.92GB | Fixed version (requanted) |
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| [llama-3-8b-instruct-gradient-4194k.Q4_K_S.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q4_K_S.gguf) | Q4_K_S | 4.69GB | Recommended, medium quality |
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| [llama-3-8b-instruct-gradient-4194k.Q4_0.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q4_0.gguf) | Q4_0 | 4.66GB | Usable, better than Q3 but worse than Q4 |
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| [llama-3-8b-instruct-gradient-4194k.Q3_K_L.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q3_K_L.gguf) | Q3_K_L | 4.32GB | Usable |
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