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Browse files- README.md +23 -0
- config.json +44 -0
- model.safetensors +3 -0
README.md
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---
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base_model:
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- medmekk/qser
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---
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# medmekk/qser (Quantized)
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## Description
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This model is a quantized version of the original model `medmekk/qser`. It has been quantized using int4 quantization with bitsandbytes.
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## Quantization Details
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- **Quantization Type**: int4
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- **bnb_4bit_quant_type**: nf4
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- **bnb_4bit_use_double_quant**: True
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- **bnb_4bit_compute_dtype**: bfloat16
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- **bnb_4bit_quant_storage**: uint8
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## Usage
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You can use this model in your applications by loading it directly from the Hugging Face Hub:
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```python
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from transformers import AutoModel
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model = AutoModel.from_pretrained("medmekk/qser")
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config.json
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{
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"architectures": [
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"Qwen2Model"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"eos_token_id": 151643,
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"hidden_act": "silu",
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"hidden_size": 896,
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"initializer_range": 0.02,
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"intermediate_size": 4864,
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"max_position_embeddings": 32768,
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"max_window_layers": 24,
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"model_type": "qwen2",
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"num_attention_heads": 14,
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"num_hidden_layers": 24,
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"num_key_value_heads": 2,
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"quantization_config": {
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"_load_in_4bit": true,
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"_load_in_8bit": false,
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"bnb_4bit_compute_dtype": "bfloat16",
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"bnb_4bit_quant_storage": "uint8",
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"bnb_4bit_quant_type": "nf4",
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"bnb_4bit_use_double_quant": true,
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"llm_int8_enable_fp32_cpu_offload": false,
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"llm_int8_has_fp16_weight": false,
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"llm_int8_skip_modules": null,
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"llm_int8_threshold": 6.0,
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"load_in_4bit": true,
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"load_in_8bit": false,
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"quant_method": "bitsandbytes"
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},
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 1000000.0,
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"sliding_window": 32768,
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.50.0.dev0",
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"use_cache": true,
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"use_mrope": false,
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"use_sliding_window": false,
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"vocab_size": 151936
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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 sha256:91438324a722bbc11e338c29a989a7dda4f0d7ac2051d2f9f86c63712a5224c0
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size 457340042
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