| --- |
| license: apache-2.0 |
| datasets: |
| - PrimeIntellect/fineweb-edu |
| - PrimeIntellect/fineweb |
| - PrimeIntellect/StackV1-popular |
| - mlfoundations/dclm-baseline-1.0-parquet |
| - open-web-math/open-web-math |
| - arcee-ai/EvolKit-75K |
| - arcee-ai/Llama-405B-Logits |
| - arcee-ai/The-Tomb |
| - mlabonne/open-perfectblend-fixed |
| - microsoft/orca-agentinstruct-1M-v1-cleaned |
| - Post-training-Data-Flywheel/AutoIF-instruct-61k-with-funcs |
| - Team-ACE/ToolACE |
| - Synthia-coder |
| - ServiceNow-AI/M2Lingual |
| - AI-MO/NuminaMath-TIR |
| - allenai/tulu-3-sft-personas-code |
| - allenai/tulu-3-sft-personas-math |
| - allenai/tulu-3-sft-personas-math-grade |
| - allenai/tulu-3-sft-personas-algebra |
| language: |
| - en |
| base_model: |
| - PrimeIntellect/INTELLECT-1-Instruct |
| base_model_relation: quantized |
| pipeline_tag: text-generation |
| quantized_by: bartowski |
| --- |
| |
| ## Exllama v2 Quantizations of INTELLECT-1-Instruct |
|
|
| Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.2.4">turboderp's ExLlamaV2 v0.2.4</a> for quantization. |
|
|
| <b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b> |
|
|
| Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions. |
|
|
| Original model: https://huggingface.co/PrimeIntellect/INTELLECT-1-Instruct |
|
|
| ## Prompt format |
|
|
| ``` |
| <|begin_of_text|><|start_header_id|>system<|end_header_id|> |
| |
| {system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|> |
| |
| {prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|> |
| |
| |
| ``` |
|
|
| ## Available sizes |
|
|
| | Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description | |
| | ----- | ---- | ------- | ------ | ------ | ------ | ------------ | |
| | [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. | |
| | [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**. | |
| | [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. | |
| | [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. | |
| | [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. | |
| |
| ## Download instructions |
| |
| With git: |
| |
| ```shell |
| git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/INTELLECT-1-Instruct-exl2 INTELLECT-1-Instruct-exl2-6_5 |
| ``` |
| |
| With huggingface hub (credit to TheBloke for instructions): |
| |
| ```shell |
| pip3 install huggingface-hub |
| ``` |
| |
| To download a specific branch, use the `--revision` parameter. For example, to download the 6.5 bpw branch: |
| |
| Linux: |
| |
| ```shell |
| huggingface-cli download bartowski/INTELLECT-1-Instruct-exl2 --revision 6_5 --local-dir INTELLECT-1-Instruct-exl2-6_5 |
| ``` |
| |
| Windows (which apparently doesn't like _ in folders sometimes?): |
|
|
| ```shell |
| huggingface-cli download bartowski/INTELLECT-1-Instruct-exl2 --revision 6_5 --local-dir INTELLECT-1-Instruct-exl2-6.5 |
| ``` |
|
|
| Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski |
