Quant for 5.0
Browse files- .gitattributes +1 -0
- README.md +3 -30
- added_tokens.json +4 -0
- config.json +26 -0
- model.safetensors.index.json +1 -0
- original_repo_url.txt +1 -0
- output.safetensors +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +61 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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Assets/lelantos.png filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model: mistralai/Mistral-7B-v0.1
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tags:
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- mistral
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- chatml
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- merge
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model-index:
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- name: Lelantos-7B
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results: []
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license: apache-2.0
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language:
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- en
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quantized_by: bartowski
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pipeline_tag: text-generation
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---
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Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.11">turboderp's ExLlamaV2 v0.0.11</a> for quantization.
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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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Conversion was done using the default calibration dataset.
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Default arguments used except when the bits per weight is above 6.0, at that point the lm_head layer is quantized at 8 bits per weight instead of the default 6.
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Original model: https://huggingface.co/SanjiWatsuki/Lelantos-7B
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<a href="https://huggingface.co/bartowski/Lelantos-7B-exl2/tree/6_5">6.5 bits per weight</a>
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<a href="https://huggingface.co/bartowski/Lelantos-7B-exl2/tree/8_0">8.0 bits per weight</a>
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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
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```
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With huggingface hub (credit to TheBloke for instructions):
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pip3 install huggingface-hub
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```
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To download the `main` (only useful if you only care about measurement.json) branch to a folder called `Lelantos-7B-exl2`:
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```shell
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mkdir Lelantos-7B-exl2
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huggingface-cli download bartowski/Lelantos-7B-exl2 --local-dir Lelantos-7B-exl2 --local-dir-use-symlinks False
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```
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To download from a different branch, add the `--revision` parameter:
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```shell
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mkdir Lelantos-7B-exl2
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huggingface-cli download bartowski/Lelantos-7B-exl2 --revision
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```
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---
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quantized_by: bartowski
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---
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# Exllama v2 Quantizations of Lelantos-7B at 5.0 bits per weight
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Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.11">turboderp's ExLlamaV2 v0.0.11</a> for quantization.
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Conversion was done using the default calibration dataset.
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Original model: https://huggingface.co/SanjiWatsuki/Lelantos-7B
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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 5.0 https://huggingface.co/bartowski/Lelantos-7B-exl2
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```
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With huggingface hub (credit to TheBloke for instructions):
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pip3 install huggingface-hub
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```
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To download from a different branch, add the `--revision` parameter:
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```shell
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mkdir Lelantos-7B-exl2
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huggingface-cli download bartowski/Lelantos-7B-exl2 --revision 5_0 --local-dir Lelantos-7B-exl2 --local-dir-use-symlinks False
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```
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added_tokens.json
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{
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"<|im_end|>": 32000,
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"<|im_start|>": 32001
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}
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config.json
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{
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"_name_or_path": "SanjiWatsuki/Lelantos-7B",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 8192,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.37.0.dev0",
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"use_cache": true,
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"vocab_size": 32002
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}
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model.safetensors.index.json
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