MaziyarPanahi
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Browse files- README.md +73 -0
- config.json +29 -0
- model.safetensors +3 -0
- quantize_config.json +11 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +42 -0
README.md
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---
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license: apache-2.0
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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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- gptq
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- transformers
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- safetensors
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- llama
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- text-generation
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- en
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- license:mit
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- model-index
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- autotrain_compatible
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- endpoints_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: miqu-1-70b-sf-GPTQ
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base_model: 152334H/miqu-1-70b-sf
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inference: false
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model_creator: 152334H
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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/miqu-1-70b-sf-GPTQ](https://huggingface.co/MaziyarPanahi/miqu-1-70b-sf-GPTQ) is a quantized (GPTQ) version of [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf)
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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 auto-gptq 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, pipeline
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from auto_gptq import AutoGPTQForCausalLM, BaseQuantizeConfig
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import torch
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model_id = "MaziyarPanahi/miqu-1-70b-sf-GPTQ"
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quantize_config = BaseQuantizeConfig(
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bits=4,
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group_size=128,
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desc_act=False
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)
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model = AutoGPTQForCausalLM.from_quantized(
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model_id,
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use_safetensors=True,
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device="cuda:0",
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quantize_config=quantize_config)
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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pipe = pipeline(
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"text-generation",
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model=model,
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tokenizer=tokenizer,
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max_new_tokens=512,
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temperature=0.7,
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top_p=0.95,
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repetition_penalty=1.1
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)
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outputs = pipe("What is a large language model?")
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print(outputs[0]["generated_text"])
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```
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config.json
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{
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"_name_or_path": "152334H/miqu-1-70b-sf",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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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": 8192,
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"initializer_range": 0.02,
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"intermediate_size": 28672,
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"max_position_embeddings": 32764,
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"model_type": "llama",
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"num_attention_heads": 64,
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"num_hidden_layers": 80,
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"num_key_value_heads": 8,
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"pad_token_id": 0,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 1000000,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.36.2",
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"use_cache": true,
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"vocab_size": 32000
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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 sha256:50383d5abcbbcf01888ac04fe26a5d152ed6b21782c80f1220267168706307c6
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size 36652345632
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quantize_config.json
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{
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"bits": 4,
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"group_size": 128,
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"damp_percent": 0.1,
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"desc_act": false,
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"static_groups": false,
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"sym": true,
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"true_sequential": true,
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"model_name_or_path": null,
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"model_file_base_name": 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": true,
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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": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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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": true,
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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.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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size 499723
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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": true,
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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": true,
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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": true,
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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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"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": false,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<unk>",
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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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