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Browse files- README.md +52 -0
- config.json +34 -0
- generation_config.json +7 -0
- model.safetensors +3 -0
- quant_config.json +7 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer_config.json +43 -0
README.md
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---
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tags:
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- finetuned
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- quantized
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- 4-bit
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- AWQ
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- transformers
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- pytorch
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- safetensors
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- mistral
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- text-generation
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- finetuned
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- conversational
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- arxiv:2310.06825
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- license:apache-2.0
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- autotrain_compatible
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- has_space
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- text-generation-inference
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- region:us
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model_name: Mistral-7B-Instruct-v0.1-AWQ
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base_model: mistralai/Mistral-7B-Instruct-v0.1
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inference: false
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model_creator: mistralai
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pipeline_tag: text-generation
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quantized_by: MaziyarPanahi
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---
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# Description
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[MaziyarPanahi/Mistral-7B-Instruct-v0.1-AWQ](https://huggingface.co/MaziyarPanahi/Mistral-7B-Instruct-v0.1-AWQ) is a quantized (AWQ) version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1)
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## How to use
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### Install the necessary packages
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```
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pip install --upgrade accelerate autoawq transformers
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```
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### Example Python code
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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model_id = "MaziyarPanahi/Mistral-7B-Instruct-v0.1-AWQ"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(model_id).to(0)
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text = "User:\nHello can you provide me with top-3 cool places to visit in Paris?\n\nAssistant:\n"
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inputs = tokenizer(text, return_tensors="pt").to(0)
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out = model.generate(**inputs, max_new_tokens=300)
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print(tokenizer.decode(out[0], skip_special_tokens=True))
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```
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config.json
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{
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"_name_or_path": "/home/maziyar/.cache/huggingface/hub/models--mistralai--Mistral-7B-Instruct-v0.1/snapshots/9ab9e76e2b09f9f29ea2d56aa5bd139e4445c59e",
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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": 32768,
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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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"quantization_config": {
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"bits": 4,
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"group_size": 128,
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"modules_to_not_convert": null,
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"quant_method": "awq",
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"version": "gemm",
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"zero_point": true
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},
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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": "float16",
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"transformers_version": "4.38.0.dev0",
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"use_cache": true,
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"vocab_size": 32000
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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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"do_sample": true,
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"eos_token_id": 2,
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"transformers_version": "4.38.0.dev0"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:20cde9ef9b238ba9b11051c0e5d7200c6cb1c715ed4c69d0829ae332c4f27fd1
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size 4150880232
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quant_config.json
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{
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"zero_point": true,
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"q_group_size": 128,
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"w_bit": 4,
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"version": "GEMM",
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"modules_to_not_convert": null
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}
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"additional_special_tokens": [],
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"bos_token": "<s>",
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"chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token + ' ' }}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": true,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": null,
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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