casperhansen
commited on
Commit
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Parent(s):
1b6cc64
init
Browse files- README.md +42 -0
- config.json +25 -0
- generation_config.json +6 -0
- pytorch_model.bin +3 -0
- quant_config.json +6 -0
- special_tokens_map.json +5 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +40 -0
README.md
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---
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license: apache-2.0
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---
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---
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license: apache-2.0
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---
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# Mistral 7B Instruct
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AWQ quantized model.
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Dependencies:
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```
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pip install git+https://github.com/casper-hansen/AutoAWQ.git
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pip install git+https://github.com/huggingface/transformers.git
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```
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Example:
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```python
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from awq import AutoAWQForCausalLM
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from transformers import AutoTokenizer, TextStreamer
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quant_path = "mistral-7b-instruct-v0.1"
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# Load model
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model = AutoAWQForCausalLM.from_quantized(quant_path, fuse_layers=True)
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tokenizer = AutoTokenizer.from_pretrained(quant_path, trust_remote_code=True)
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streamer = TextStreamer(tokenizer, skip_special_tokens=True)
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# Convert prompt to tokens
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text = "<s>[INST] What is your favourite condiment? [/INST]"
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"Well, I'm quite partial to a good squeeze of fresh lemon juice. It adds just the right amount of zesty flavour to whatever I'm cooking up in the kitchen!</s> "
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"[INST] Do you have mayonnaise recipes? [/INST]"
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tokens = tokenizer(
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text,
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return_tensors='pt'
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).input_ids.cuda()
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# Generate output
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generation_output = model.generate(
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tokens,
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streamer=streamer,
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max_new_tokens=512
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)
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```
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config.json
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{
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"_name_or_path": "/root/.cache/huggingface/hub/models--mistralai--Mistral-7B-Instruct-v0.1/snapshots/2b962727a90291ab7049acf983dcf508bbc488ad",
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"architectures": [
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"MistralForCausalLM"
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],
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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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"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": "4.34.0.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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"eos_token_id": 2,
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"transformers_version": "4.34.0.dev0"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:2a0fdba638d7c5684e0d7be2ccc7407c941345fada7dab335c8f6ef768894f94
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size 4151034841
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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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}
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special_tokens_map.json
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{
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"bos_token": "<s>",
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"eos_token": "</s>",
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"unk_token": "<unk>"
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}
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tokenizer.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:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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size 493443
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tokenizer_config.json
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{
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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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"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": true
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}
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