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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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+
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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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+
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+
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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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+
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+
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+
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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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+
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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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+
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+ Prompt format:
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+
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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"