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+ ---
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+ base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
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+ datasets:
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+ - cerebras/SlimPajama-627B
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+ - bigcode/starcoderdata
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+ inference: false
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+ language:
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+ - en
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+ license: apache-2.0
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+ model_creator: TinyLlama
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+ model_name: TinyLlama-1.1B-intermediate-step-1431k-3T
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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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+ # TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T-GGUF
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+
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+ Quantized GGUF model files for [TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) from [TinyLlama](https://huggingface.co/TinyLlama)
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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-step-1431k-3t.fp16.gguf](https://huggingface.co/afrideva/TinyLlama-1.1B-intermediate-step-1431k-3T-GGUF/resolve/main/tinyllama-1.1b-intermediate-step-1431k-3t.fp16.gguf) | fp16 | 2.20 GB |
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+ | [tinyllama-1.1b-intermediate-step-1431k-3t.q2_k.gguf](https://huggingface.co/afrideva/TinyLlama-1.1B-intermediate-step-1431k-3T-GGUF/resolve/main/tinyllama-1.1b-intermediate-step-1431k-3t.q2_k.gguf) | q2_k | 483.12 MB |
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+ | [tinyllama-1.1b-intermediate-step-1431k-3t.q3_k_m.gguf](https://huggingface.co/afrideva/TinyLlama-1.1B-intermediate-step-1431k-3T-GGUF/resolve/main/tinyllama-1.1b-intermediate-step-1431k-3t.q3_k_m.gguf) | q3_k_m | 550.82 MB |
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+ | [tinyllama-1.1b-intermediate-step-1431k-3t.q4_k_m.gguf](https://huggingface.co/afrideva/TinyLlama-1.1B-intermediate-step-1431k-3T-GGUF/resolve/main/tinyllama-1.1b-intermediate-step-1431k-3t.q4_k_m.gguf) | q4_k_m | 668.79 MB |
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+ | [tinyllama-1.1b-intermediate-step-1431k-3t.q5_k_m.gguf](https://huggingface.co/afrideva/TinyLlama-1.1B-intermediate-step-1431k-3T-GGUF/resolve/main/tinyllama-1.1b-intermediate-step-1431k-3t.q5_k_m.gguf) | q5_k_m | 783.02 MB |
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+ | [tinyllama-1.1b-intermediate-step-1431k-3t.q6_k.gguf](https://huggingface.co/afrideva/TinyLlama-1.1B-intermediate-step-1431k-3T-GGUF/resolve/main/tinyllama-1.1b-intermediate-step-1431k-3t.q6_k.gguf) | q6_k | 904.39 MB |
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+ | [tinyllama-1.1b-intermediate-step-1431k-3t.q8_0.gguf](https://huggingface.co/afrideva/TinyLlama-1.1B-intermediate-step-1431k-3T-GGUF/resolve/main/tinyllama-1.1b-intermediate-step-1431k-3t.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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+ <div align="center">
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+
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+ # TinyLlama-1.1B
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+ </div>
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+
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+ https://github.com/jzhang38/TinyLlama
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+
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+ The TinyLlama project aims to **pretrain** a **1.1B Llama model on 3 trillion tokens**. With some proper optimization, we can achieve this within a span of "just" 90 days using 16 A100-40G GPUs 🚀🚀. The training has started on 2023-09-01.
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+
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+ <div align="center">
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+ <img src="./TinyLlama_logo.png" width="300"/>
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+ </div>
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+
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+ We adopted exactly the same architecture and tokenizer as Llama 2. This means TinyLlama can be plugged and played in many open-source projects built upon Llama. Besides, TinyLlama is compact with only 1.1B parameters. This compactness allows it to cater to a multitude of applications demanding a restricted computation and memory footprint.
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+
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+ #### This Collection
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+ This collection contains all checkpoints after the 1T fix. Branch name indicates the step and number of tokens seen.
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+
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+ #### Eval
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+
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+ | Model | Pretrain Tokens | HellaSwag | Obqa | WinoGrande | ARC_c | ARC_e | boolq | piqa | avg |
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+ |-------------------------------------------|-----------------|-----------|------|------------|-------|-------|-------|------|-----|
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+ | Pythia-1.0B | 300B | 47.16 | 31.40| 53.43 | 27.05 | 48.99 | 60.83 | 69.21 | 48.30 |
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+ | TinyLlama-1.1B-intermediate-step-50K-104b | 103B | 43.50 | 29.80| 53.28 | 24.32 | 44.91 | 59.66 | 67.30 | 46.11|
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+ | TinyLlama-1.1B-intermediate-step-240k-503b| 503B | 49.56 |31.40 |55.80 |26.54 |48.32 |56.91 |69.42 | 48.28 |
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+ | TinyLlama-1.1B-intermediate-step-480k-1007B | 1007B | 52.54 | 33.40 | 55.96 | 27.82 | 52.36 | 59.54 | 69.91 | 50.22 |
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+ | TinyLlama-1.1B-intermediate-step-715k-1.5T | 1.5T | 53.68 | 35.20 | 58.33 | 29.18 | 51.89 | 59.08 | 71.65 | 51.29 |
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+ | TinyLlama-1.1B-intermediate-step-955k-2T | 2T | 54.63 | 33.40 | 56.83 | 28.07 | 54.67 | 63.21 | 70.67 | 51.64 |
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+ | **TinyLlama-1.1B-intermediate-step-1195k-token-2.5T** | **2.5T** | **58.96** | **34.40** | **58.72** | **31.91** | **56.78** | **63.21** | **73.07** | **53.86**|