nintwentydo
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Browse files- README.md +46 -0
- chat_template.json +3 -0
- config.json +54 -0
- generation_config.json +6 -0
- model.safetensors.index.json +0 -0
- output-00001-of-00004.safetensors +3 -0
- output-00002-of-00004.safetensors +3 -0
- output-00003-of-00004.safetensors +3 -0
- output-00004-of-00004.safetensors +3 -0
- preprocessor_config.json +27 -0
- processor_config.json +7 -0
- special_tokens_map.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +0 -0
README.md
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---
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language:
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- en
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- fr
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- de
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- es
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- it
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- pt
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- zh
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- ja
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- ru
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- ko
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license: other
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license_name: mrl
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base_model: mistralai/Pixtral-Large-Instruct-2411
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base_model_relation: quantized
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inference: false
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license_link: https://mistral.ai/licenses/MRL-0.1.md
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library_name: transformers
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pipeline_tag: image-text-to-text
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---
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# Pixtral-Large-Instruct-2411 🧡 ExLlamaV2 2.5bpw Quant
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2.5bpw quant of [Pixtral-Large-Instruct](https://huggingface.co/nintwentydo/Pixtral-Large-Instruct-2411).
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Vision inputs working on dev branch of [ExLlamaV2](https://github.com/turboderp/exllamav2/tree/dev).
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## Tokenizer And Prompt Template
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Using conversion of v7m1 tokenizer with 32k vocab size.
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Chat template in chat_template.json uses the v7 instruct template:
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```
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<s>[SYSTEM_PROMPT] <system prompt>[/SYSTEM_PROMPT][INST] <user message>[/INST] <assistant response></s>[INST] <user message>[/INST]
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```
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## Available Sizes
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| Repo | Bits | Head Bits | Size |
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| ----------- | ------ | ------ | ------ |
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| [nintwentydo/Pixtral-Large-Instruct-2411-exl2-2.5bpw](https://huggingface.co/nintwentydo/Pixtral-Large-Instruct-2411-exl2-2.5bpw) | 2.5 | 6.0 | 39.34 GB |
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| [nintwentydo/Pixtral-Large-Instruct-2411-exl2-3.0bpw](https://huggingface.co/nintwentydo/Pixtral-Large-Instruct-2411-exl2-3.0bpw) | 3.0 | 6.0 | 46.42 GB |
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| [nintwentydo/Pixtral-Large-Instruct-2411-exl2-4.0bpw](https://huggingface.co/nintwentydo/Pixtral-Large-Instruct-2411-exl2-4.0bpw) | 4.0 | 6.0 | 60.61GB |
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| nintwentydo/Pixtral-Large-Instruct-2411-exl2-5.0bpw | 5.0 | 6.0 | TBC |
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chat_template.json
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{
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"chat_template": "{{- bos_token }} \n{%- for message in messages %} \n {%- if message['role'] == 'user' %} \n {{- '[INST]' + ' ' }} \n {%- if message['content'] is not string %} \n {%- for chunk in message['content'] %} \n {%- if chunk['type'] == 'text' %} \n {{- chunk['content'] }} \n {%- elif chunk['type'] == 'image' %} \n {{- '[IMG]' }} \n {%- else %} \n {{- raise_exception('Unrecognized content type!') }} \n {%- endif %} \n {%- endfor %} \n {%- else %} \n {{- message['content'] }} \n {%- endif %} \n {{- '[\/INST]' }} \n {%- if not loop.last and messages[loop.index]['role'] == 'user' %} \n {{- eos_token }} \n {%- endif %} \n {%- elif message['role'] == 'system' %} \n {{- '[SYSTEM_PROMPT] ' + message['content'] + '[\/SYSTEM_PROMPT]' }} \n {%- elif message['role'] == 'assistant' %} \n {{- ' ' + message['content'] + eos_token }} \n {%- else %} \n {{- raise_exception('Only user, system and assistant roles are supported!') }} \n {%- endif %} \n{%- endfor %}"
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}
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config.json
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{
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"architectures": [
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"LlavaForConditionalGeneration"
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],
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"ignore_index": -100,
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"image_seq_length": 1,
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"image_token_index": 10,
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"model_type": "llava",
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"multimodal_projector_bias": false,
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"projector_hidden_act": "gelu",
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"text_config": {
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"hidden_size": 12288,
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"intermediate_size": 28672,
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"is_composition": true,
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"max_position_embeddings": 131072,
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"model_type": "mistral",
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"norm_eps": 1e-05,
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"rms_norm_eps": 1e-05,
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"num_attention_heads": 96,
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"num_hidden_layers": 88,
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"num_key_value_heads": 8,
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"rope_theta": 1000000000.0,
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"sliding_window": null,
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"vocab_size": 32768
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},
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"torch_dtype": "bfloat16",
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"transformers_version": "4.47.0.dev0",
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"vision_config": {
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"head_dim": 88,
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"hidden_act": "silu",
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"hidden_size": 1408,
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"image_size": 1024,
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"image_token_id": 10,
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"intermediate_size": 6144,
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"model_type": "pixtral",
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"num_hidden_layers": 40,
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"num_attention_heads": 16,
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"patch_size": 16,
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"rope_theta": 10000.0
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},
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"vision_feature_layer": -1,
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"vision_feature_select_strategy": "full",
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"quantization_config": {
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"quant_method": "exl2",
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"version": "0.2.6",
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"bits": 2.5,
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"head_bits": 6,
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"calibration": {
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"rows": 115,
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"length": 2048,
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"dataset": "(default)"
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}
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}
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.47.0.dev0"
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}
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model.safetensors.index.json
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output-00001-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:35d2af2f1b2e0eb92f370eb4ecbd9d26a58f32dd2e6348ecedc675403af6a190
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size 10713154702
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output-00002-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:017e582c3226c641edee661a27674dc101e297353ae033643330f12232d69571
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size 10642268632
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output-00003-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f3be399f8109a840ba72563fdc1978d6e96c07842cb0c353e049b1bdbfb6c9a3
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size 10641588836
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output-00004-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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size 10243815636
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preprocessor_config.json
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{
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"do_convert_rgb": true,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.48145466,
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0.4578275,
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],
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"image_processor_type": "PixtralImageProcessor",
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"image_std": [
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0.26862954,
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0.26130258,
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],
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"patch_size": {
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"height": 16,
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"width": 16
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},
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"processor_class": "PixtralProcessor",
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"longest_edge": 1024
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}
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}
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processor_config.json
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{
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"image_break_token": "[IMG_BREAK]",
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"image_end_token": "[IMG_END]",
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"image_token": "[IMG]",
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"patch_size": 16,
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"processor_class": "PixtralProcessor"
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}
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special_tokens_map.json
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:1b968b8dc352f42192367337c78ccc61e1eaddc6d641a579372d4f20694beb7a
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size 587562
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tokenizer_config.json
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