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Qwen-7b-chat-int4-lee
iamnowhere/Qwen-7b-chat-int4-lee
Qwen-7b-chat-int4-lee is a machine learning model from iamnowhere. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
- Developed by: [More Information Needed] - Funded by [optional]: [More Information Needed] - Shared by [optional]: [More Information Needed] - Model type: [More Information Needed] - Language(s) (NLP): [More Informat…
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At a glance
- Library
- peft
- Access
- Public
- Created
- Dec 2, 2023
- Updated
- Dec 2, 2023
- SHA
- 7dd100a5
Base models
Model card
From the Hugging Face model README
Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->Model Details
Model Description
<!-- Provide a longer summary of what this model is. -->- Developed by: [More Information Needed]
- Funded by [optional]: [More Information Needed]
- Shared by [optional]: [More Information Needed]
- Model type: [More Information Needed]
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- License: [More Information Needed]
- Finetuned from model [optional]: [More Information Needed]
Model Sources [optional]
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Uses
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Out-of-Scope Use
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Bias, Risks, and Limitations
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Recommendations
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How to Get Started with the Model
Use the code below to get started with the model.
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Training Details
Training Data
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Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->Preprocessing [optional]
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Training Hyperparameters
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Evaluation
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Factors
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Results
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Summary
Model Examination [optional]
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Environmental Impact
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Technical Specifications [optional]
Model Architecture and Objective
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Compute Infrastructure
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Hardware
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Software
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Citation [optional]
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Glossary [optional]
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Training procedure
The following bitsandbytes quantization config was used during training:
- quant_method: gptq
- bits: 4
- tokenizer: None
- dataset: None
- group_size: 128
- damp_percent: 0.01
- desc_act: False
- sym: True
- true_sequential: True
- use_cuda_fp16: False
- model_seqlen: None
- block_name_to_quantize: None
- module_name_preceding_first_block: None
- batch_size: 1
- pad_token_id: None
- disable_exllama: False
Framework versions
- PEFT 0.6.2
- Library
- peft
- Created
- Dec 2, 2023
- Updated
- Dec 2, 2023