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--- |
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base_model: cnmoro/TinyLlama-1.1B-intermediate-1.5T-PTBR-Instruct-v3-8k |
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inference: false |
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language: |
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- pt |
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- en |
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license: mit |
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model_creator: cnmoro |
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model_name: TinyLlama-1.1B-intermediate-1.5T-PTBR-Instruct-v3-8k |
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pipeline_tag: text-generation |
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quantized_by: afrideva |
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tags: |
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- gguf |
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- ggml |
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- quantized |
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- q2_k |
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- q3_k_m |
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- q4_k_m |
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- q5_k_m |
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- q6_k |
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- q8_0 |
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--- |
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# cnmoro/TinyLlama-1.1B-intermediate-1.5T-PTBR-Instruct-v3-8k-GGUF |
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Quantized GGUF model files for [TinyLlama-1.1B-intermediate-1.5T-PTBR-Instruct-v3-8k](https://huggingface.co/cnmoro/TinyLlama-1.1B-intermediate-1.5T-PTBR-Instruct-v3-8k) from [cnmoro](https://huggingface.co/cnmoro) |
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| Name | Quant method | Size | |
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| ---- | ---- | ---- | |
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| [tinyllama-1.1b-intermediate-1.5t-ptbr-instruct-v3-8k.q2_k.gguf](https://huggingface.co/afrideva/TinyLlama-1.1B-intermediate-1.5T-PTBR-Instruct-v3-8k-GGUF/resolve/main/tinyllama-1.1b-intermediate-1.5t-ptbr-instruct-v3-8k.q2_k.gguf) | q2_k | 482.14 MB | |
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| [tinyllama-1.1b-intermediate-1.5t-ptbr-instruct-v3-8k.q3_k_m.gguf](https://huggingface.co/afrideva/TinyLlama-1.1B-intermediate-1.5T-PTBR-Instruct-v3-8k-GGUF/resolve/main/tinyllama-1.1b-intermediate-1.5t-ptbr-instruct-v3-8k.q3_k_m.gguf) | q3_k_m | 549.85 MB | |
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| [tinyllama-1.1b-intermediate-1.5t-ptbr-instruct-v3-8k.q4_k_m.gguf](https://huggingface.co/afrideva/TinyLlama-1.1B-intermediate-1.5T-PTBR-Instruct-v3-8k-GGUF/resolve/main/tinyllama-1.1b-intermediate-1.5t-ptbr-instruct-v3-8k.q4_k_m.gguf) | q4_k_m | 667.81 MB | |
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| [tinyllama-1.1b-intermediate-1.5t-ptbr-instruct-v3-8k.q5_k_m.gguf](https://huggingface.co/afrideva/TinyLlama-1.1B-intermediate-1.5T-PTBR-Instruct-v3-8k-GGUF/resolve/main/tinyllama-1.1b-intermediate-1.5t-ptbr-instruct-v3-8k.q5_k_m.gguf) | q5_k_m | 782.04 MB | |
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| [tinyllama-1.1b-intermediate-1.5t-ptbr-instruct-v3-8k.q6_k.gguf](https://huggingface.co/afrideva/TinyLlama-1.1B-intermediate-1.5T-PTBR-Instruct-v3-8k-GGUF/resolve/main/tinyllama-1.1b-intermediate-1.5t-ptbr-instruct-v3-8k.q6_k.gguf) | q6_k | 903.41 MB | |
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| [tinyllama-1.1b-intermediate-1.5t-ptbr-instruct-v3-8k.q8_0.gguf](https://huggingface.co/afrideva/TinyLlama-1.1B-intermediate-1.5T-PTBR-Instruct-v3-8k-GGUF/resolve/main/tinyllama-1.1b-intermediate-1.5t-ptbr-instruct-v3-8k.q8_0.gguf) | q8_0 | 1.17 GB | |
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## Original Model Card: |
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Finetuned version of PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T, on a Portuguese instruct dataset, using axolotl. |
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v0, v1 and v2 were finetuned for the default 2048 context length. For this v3, I have used the existing v2 and finetuned the model on a 8k context length dataset. |
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It works fairly well, but it's reasoning capabilities are not so strong. It works well for basic RAG / question answering on retrieved content. |
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Prompt format: |
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f"Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.\n\n### Instruction:\n{instruction}\n\n### Response:\n" |
