Upload trained [Ludwig](https://ludwig.ai/latest/) model weights
Browse files- README.md +19 -1
- adapter_config.json +3 -3
- adapter_model.bin +2 -2
README.md
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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![Kashaloti-LiliumAlb-Zephyr](https://huggingface.co/noxneural/MistralKashaloti/resolve/main/Kashaloti-LiliumAlb-Zephyr.png)
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@@ -236,4 +235,23 @@ The following `bitsandbytes` quantization config was used during training:
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### Framework versions
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- PEFT 0.6.0.dev0
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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### Framework versions
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- PEFT 0.6.0.dev0
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## Training procedure
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The following `bitsandbytes` quantization config was used during training:
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- quant_method: QuantizationMethod.BITS_AND_BYTES
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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: nf4
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- bnb_4bit_use_double_quant: True
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- bnb_4bit_compute_dtype: float16
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### Framework versions
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- PEFT 0.6.0.dev0
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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": null,
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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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"q_proj",
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"v_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
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version https://git-lfs.github.com/spec/v1
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oid sha256:7eaa51169fb5f5f33b328f26090dcd19a47bde0a9efe64e78856dbbe04a07e7a
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size 888
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