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--- |
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language: |
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- en |
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license: llama3 |
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tags: |
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- meta |
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- llama-3 |
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- safetensors |
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pipeline_tag: text-generation |
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library_name: transformers |
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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~~ Use RoPE settings |
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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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| [llama-3-8b-instruct-gradient-4194k.Q3_K_M.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q3_K_M.gguf) | Q3_K_M | 4.02GB | Bad quality, use Q4 | |
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| [llama-3-8b-instruct-gradient-4194k.Q3_K_S.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q3_K_S.gguf) | Q3_K_S | 3.66GB | Not recommended | |
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| [llama-3-8b-instruct-gradient-4194k.Q2_K.gguf](https://huggingface.co/leafspark/Llama-3-8B-Instruct-Gradient-4194k-GGUF/blob/main/llama-3-8b-instruct-gradient-4194k.Q2_K.gguf) | Q2_K | 2.95GB | Very low quality, would not use on 8b models | |
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## Use with llama.cpp |
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Install llama.cpp through brew. |
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```bash |
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brew install ggerganov/ggerganov/llama.cpp |
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``` |
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Invoke the llama.cpp server or the CLI. |
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CLI: |
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```bash |
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llama-cli --hf-repo leafspark/llama-3-8b-instruct-gradient-4194k.Q8_0-GGUF --model llama-3-8b-instruct-gradient-4194k.Q8_0.gguf -p "The meaning to life and the universe is" |
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``` |
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Server: |
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```bash |
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llama-server --hf-repo leafspark/llama-3-8b-instruct-gradient-4194k.Q8_0-GGUF --model llama-3-8b-instruct-gradient-4194k.Q8_0.gguf -c 2048 |
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``` |
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Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well. |
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``` |
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git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m llama-3-8b-instruct-gradient-4194k.Q8_0.gguf -n 128 |
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``` |