Upload model
Browse files- README.md +9 -8
- adapter_config.json +3 -3
- adapter_model.bin +1 -1
README.md
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---
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library_name: peft
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base_model:
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---
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# Model Card for Model ID
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- **Developed by:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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### Training Data
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<!-- This should link to a
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[More Information Needed]
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#### Testing Data
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<!-- This should link to a
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[More Information Needed]
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The following `bitsandbytes` quantization config was used during training:
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- quant_method: bitsandbytes
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- load_in_8bit:
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- load_in_4bit:
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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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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- bnb_4bit_quant_type:
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- bnb_4bit_use_double_quant:
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- bnb_4bit_compute_dtype:
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### Framework versions
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---
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library_name: peft
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base_model: WizardLM/WizardMath-7B-V1.0
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---
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# Model Card for Model ID
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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The following `bitsandbytes` quantization config was used during training:
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- quant_method: bitsandbytes
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- load_in_8bit: True
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- load_in_4bit: False
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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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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- bnb_4bit_quant_type: fp4
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- bnb_4bit_use_double_quant: False
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- bnb_4bit_compute_dtype: float32
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### Framework versions
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"
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"
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],
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"task_type": "CAUSAL_LM"
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}
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "WizardLM/WizardMath-7B-V1.0",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"q_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 16822989
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version https://git-lfs.github.com/spec/v1
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oid sha256:18bb149c44a1f0404db23b2989653030002adfc477785a1b148b9271d608a000
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size 16822989
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