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README.md ADDED
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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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+
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+ # Pixtral-Large-Instruct-2411 🧡 ExLlamaV2 2.5bpw Quant
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+
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+ 2.5bpw quant of [Pixtral-Large-Instruct](https://huggingface.co/nintwentydo/Pixtral-Large-Instruct-2411).
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+
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+ Vision inputs working on dev branch of [ExLlamaV2](https://github.com/turboderp/exllamav2/tree/dev).
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+
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+
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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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+
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+ Chat template in chat_template.json uses the v7 instruct template:
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+
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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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+
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+ ## Available Sizes
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+
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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 |
chat_template.json ADDED
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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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+ }
config.json ADDED
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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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+ }
generation_config.json ADDED
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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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+ "do_convert_rgb": true,
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+ "do_normalize": true,
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+ "image_mean": [
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+ "image_processor_type": "PixtralImageProcessor",
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