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--- |
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license: apache-2.0 |
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datasets: |
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- PrimeIntellect/fineweb-edu |
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- PrimeIntellect/fineweb |
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- PrimeIntellect/StackV1-popular |
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- mlfoundations/dclm-baseline-1.0-parquet |
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- open-web-math/open-web-math |
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- arcee-ai/EvolKit-75K |
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- arcee-ai/Llama-405B-Logits |
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- arcee-ai/The-Tomb |
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- mlabonne/open-perfectblend-fixed |
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- microsoft/orca-agentinstruct-1M-v1-cleaned |
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- Post-training-Data-Flywheel/AutoIF-instruct-61k-with-funcs |
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- Team-ACE/ToolACE |
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- Synthia-coder |
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- ServiceNow-AI/M2Lingual |
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- AI-MO/NuminaMath-TIR |
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- allenai/tulu-3-sft-personas-code |
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- allenai/tulu-3-sft-personas-math |
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- allenai/tulu-3-sft-personas-math-grade |
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- allenai/tulu-3-sft-personas-algebra |
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language: |
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- en |
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base_model: |
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- PrimeIntellect/INTELLECT-1-Instruct |
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base_model_relation: quantized |
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pipeline_tag: text-generation |
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quantized_by: bartowski |
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--- |
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## Exllama v2 Quantizations of INTELLECT-1-Instruct |
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Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.2.4">turboderp's ExLlamaV2 v0.2.4</a> for quantization. |
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<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b> |
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Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions. |
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Original model: https://huggingface.co/PrimeIntellect/INTELLECT-1-Instruct |
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## Prompt format |
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``` |
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> |
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{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|> |
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{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|> |
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``` |
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## Available sizes |
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| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description | |
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| ----- | ---- | ------- | ------ | ------ | ------ | ------------ | |
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| [8_0](https://huggingface.co/bartowski/INTELLECT-1-Instruct-exl2/tree/8_0) | 8.0 | 8.0 | 11.9 GB | 13.3 GB | 15.3 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. | |
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| [6_5](https://huggingface.co/bartowski/INTELLECT-1-Instruct-exl2/tree/6_5) | 6.5 | 8.0 | 10.3 GB | 11.7 GB | 13.7 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. | |
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| [5_0](https://huggingface.co/bartowski/INTELLECT-1-Instruct-exl2/tree/5_0) | 5.0 | 6.0 | 8.3 GB | 9.7 GB | 11.7 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. | |
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| [4_25](https://huggingface.co/bartowski/INTELLECT-1-Instruct-exl2/tree/4_25) | 4.25 | 6.0 | 7.4 GB | 8.6 GB | 10.6 GB | GPTQ equivalent bits per weight, slightly higher quality. | |
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| [3_5](https://huggingface.co/bartowski/INTELLECT-1-Instruct-exl2/tree/3_5) | 3.5 | 6.0 | 6.4 GB | 7.8 GB | 9.8 GB | Lower quality, only use if you have to. | |
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## Download instructions |
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With git: |
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```shell |
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git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/INTELLECT-1-Instruct-exl2 INTELLECT-1-Instruct-exl2-6_5 |
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``` |
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With huggingface hub (credit to TheBloke for instructions): |
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```shell |
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pip3 install huggingface-hub |
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``` |
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To download a specific branch, use the `--revision` parameter. For example, to download the 6.5 bpw branch: |
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Linux: |
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```shell |
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huggingface-cli download bartowski/INTELLECT-1-Instruct-exl2 --revision 6_5 --local-dir INTELLECT-1-Instruct-exl2-6_5 |
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``` |
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Windows (which apparently doesn't like _ in folders sometimes?): |
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```shell |
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huggingface-cli download bartowski/INTELLECT-1-Instruct-exl2 --revision 6_5 --local-dir INTELLECT-1-Instruct-exl2-6.5 |
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``` |
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Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski |
