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README.md

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+---
+base_model: cnmoro/TinyLlama-1.1B-intermediate-1.5T-PTBR-Instruct-v3-8k
+inference: false
+language:
+- pt
+- en
+license: mit
+model_creator: cnmoro
+model_name: TinyLlama-1.1B-intermediate-1.5T-PTBR-Instruct-v3-8k
+pipeline_tag: text-generation
+quantized_by: afrideva
+tags:
+- gguf
+- ggml
+- quantized
+- q2_k
+- q3_k_m
+- q4_k_m
+- q5_k_m
+- q6_k
+- q8_0
+---
+# cnmoro/TinyLlama-1.1B-intermediate-1.5T-PTBR-Instruct-v3-8k-GGUF
+
+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)
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [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  |
+| [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  |
+| [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  |
+| [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  |
+| [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  |
+| [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  |
+
+
+
+## Original Model Card:
+Finetuned version of PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T, on a Portuguese instruct dataset, using axolotl.
+
+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.
+It works fairly well, but it's reasoning capabilities are not so strong. It works well for basic RAG / question answering on retrieved content.
+
+Prompt format:
+
+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"