Init
Browse files- .gitattributes +1 -0
- HuggingFaceH4/zephyr-7b-alpha-lora/README.md +21 -0
- HuggingFaceH4/zephyr-7b-alpha-lora/adapter_config.json +26 -0
- HuggingFaceH4/zephyr-7b-alpha-lora/adapter_model.bin +3 -0
- Intel/neural-chat-7b-v3-1-lora/README.md +21 -0
- Intel/neural-chat-7b-v3-1-lora/adapter_config.json +26 -0
- Intel/neural-chat-7b-v3-1-lora/adapter_model.bin +3 -0
- README.md +12 -0
- bhenrym14/mistral-7b-platypus-fp16-lora/README.md +21 -0
- bhenrym14/mistral-7b-platypus-fp16-lora/adapter_config.json +26 -0
- bhenrym14/mistral-7b-platypus-fp16-lora/adapter_model.bin +3 -0
- jondurbin/airoboros-m-7b-3.1.2-lora/README.md +21 -0
- jondurbin/airoboros-m-7b-3.1.2-lora/adapter_config.json +26 -0
- jondurbin/airoboros-m-7b-3.1.2-lora/adapter_model.bin +3 -0
- migtissera/SynthIA-7B-v1.3-lora/README.md +21 -0
- migtissera/SynthIA-7B-v1.3-lora/adapter_config.json +26 -0
- migtissera/SynthIA-7B-v1.3-lora/adapter_model.bin +3 -0
- teknium/CollectiveCognition-v1.1-Mistral-7B-lora/README.md +21 -0
- teknium/CollectiveCognition-v1.1-Mistral-7B-lora/adapter_config.json +26 -0
- teknium/CollectiveCognition-v1.1-Mistral-7B-lora/adapter_model.bin +3 -0
- uukuguy/speechless-mistral-dolphin-orca-platypus-samantha-7b-lora/README.md +21 -0
- uukuguy/speechless-mistral-dolphin-orca-platypus-samantha-7b-lora/adapter_config.json +26 -0
- uukuguy/speechless-mistral-dolphin-orca-platypus-samantha-7b-lora/adapter_model.bin +3 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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**.bin filter=lfs diff=lfs merge=lfs -text
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HuggingFaceH4/zephyr-7b-alpha-lora/README.md
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---
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library_name: peft
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---
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## Training procedure
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| 5 |
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The following `bitsandbytes` quantization config was used during training:
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| 8 |
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- quant_method: bitsandbytes
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| 9 |
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- load_in_8bit: False
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| 10 |
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- load_in_4bit: True
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| 11 |
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- llm_int8_threshold: 6.0
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| 12 |
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- llm_int8_skip_modules: None
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| 13 |
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- llm_int8_enable_fp32_cpu_offload: False
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| 14 |
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- llm_int8_has_fp16_weight: False
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| 15 |
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- bnb_4bit_quant_type: nf4
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| 16 |
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- bnb_4bit_use_double_quant: True
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| 17 |
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- bnb_4bit_compute_dtype: bfloat16
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| 18 |
+
### Framework versions
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| 19 |
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| 20 |
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| 21 |
+
- PEFT 0.5.0
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HuggingFaceH4/zephyr-7b-alpha-lora/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "/opt/local/llm_models/huggingface.co/mistralai/Mistral-7B-v0.1",
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| 4 |
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"bias": "none",
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| 5 |
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"fan_in_fan_out": false,
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| 6 |
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"inference_mode": true,
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| 7 |
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"init_lora_weights": true,
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| 8 |
+
"layers_pattern": null,
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| 9 |
+
"layers_to_transform": null,
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| 10 |
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"lora_alpha": 16,
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| 11 |
+
"lora_dropout": 0.05,
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| 12 |
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"modules_to_save": null,
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| 13 |
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"peft_type": "LORA",
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| 14 |
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"r": 64,
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| 15 |
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"revision": null,
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| 16 |
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"target_modules": [
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"v_proj",
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| 18 |
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"down_proj",
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| 19 |
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"q_proj",
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| 20 |
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"up_proj",
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| 21 |
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"gate_proj",
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"k_proj",
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| 23 |
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"o_proj"
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| 24 |
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],
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| 25 |
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"task_type": "CAUSAL_LM"
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}
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HuggingFaceH4/zephyr-7b-alpha-lora/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:303b80bd28dcfcac38a7fd837e0537e43dbd0a8ec5ef0a7ae9f751bbd0fe72c1
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+
size 335699405
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Intel/neural-chat-7b-v3-1-lora/README.md
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---
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| 2 |
+
library_name: peft
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| 3 |
+
---
|
| 4 |
+
## Training procedure
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 8 |
+
- quant_method: bitsandbytes
|
| 9 |
+
- load_in_8bit: False
|
| 10 |
+
- load_in_4bit: True
|
| 11 |
+
- llm_int8_threshold: 6.0
|
| 12 |
+
- llm_int8_skip_modules: None
|
| 13 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 14 |
+
- llm_int8_has_fp16_weight: False
|
| 15 |
+
- bnb_4bit_quant_type: nf4
|
| 16 |
+
- bnb_4bit_use_double_quant: True
|
| 17 |
+
- bnb_4bit_compute_dtype: bfloat16
|
| 18 |
+
### Framework versions
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
- PEFT 0.5.0
|
Intel/neural-chat-7b-v3-1-lora/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "/opt/local/llm_models/huggingface.co/mistralai/Mistral-7B-v0.1",
|
| 4 |
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"bias": "none",
|
| 5 |
+
"fan_in_fan_out": false,
|
| 6 |
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"inference_mode": true,
|
| 7 |
+
"init_lora_weights": true,
|
| 8 |
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"layers_pattern": null,
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| 9 |
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"layers_to_transform": null,
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| 10 |
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"lora_alpha": 16,
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| 11 |
+
"lora_dropout": 0.05,
|
| 12 |
+
"modules_to_save": null,
|
| 13 |
+
"peft_type": "LORA",
|
| 14 |
+
"r": 64,
|
| 15 |
+
"revision": null,
|
| 16 |
+
"target_modules": [
|
| 17 |
+
"up_proj",
|
| 18 |
+
"down_proj",
|
| 19 |
+
"q_proj",
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| 20 |
+
"o_proj",
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| 21 |
+
"gate_proj",
|
| 22 |
+
"k_proj",
|
| 23 |
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"v_proj"
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| 24 |
+
],
|
| 25 |
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"task_type": "CAUSAL_LM"
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| 26 |
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}
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Intel/neural-chat-7b-v3-1-lora/adapter_model.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:331d50fdd291f23fc04b55a059ac88aa26a65b8115ce78589d2049ca5cc55965
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size 335699405
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README.md
CHANGED
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@@ -1,3 +1,15 @@
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| 1 |
---
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| 2 |
license: apache-2.0
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| 3 |
---
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---
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| 2 |
license: apache-2.0
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| 3 |
---
|
| 4 |
+
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| 5 |
+
This site is part of the DARE experiment and contains LoRA modules extracted from the following DARE models.
|
| 6 |
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| 7 |
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For more details, please refer to this website: [uukuguy/multi_loras#mixture-of-multi-loras](https://github.com/uukuguy/multi_loras#mixture-of-multi-loras).
|
| 8 |
+
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| 9 |
+
- Intel/neural-chat-7b-v3-1 [DARE Model](https://huggingface.co/uukuguy/neural-chat-7b-v3-1-dare-0.85)
|
| 10 |
+
- bhenrym14/mistral-7b-platypus-fp16 [DARE Model](https://huggingface.co/uukuguy/mistral-7b-platypus-fp16-dare-0.9)
|
| 11 |
+
- jondurbin/airoboros-m-7b-3.1.2 [DARE Model](https://huggingface.co/uukuguy/airoboros-m-7b-3.1.2-dare-0.85)
|
| 12 |
+
- migtissera/SynthIA-7B-v1.3 [DARE Model](https://huggingface.co/uukuguy/SynthIA-7B-v1.3-dare-0.85)
|
| 13 |
+
- teknium/CollectiveCognition-v1.1-Mistral-7B [DARE Model](teknium/CollectiveCognition-v1.1-Mistral-7B)
|
| 14 |
+
- uukuguy/speechless-mistral-dolphin-orca-platypus-samantha-7b [DARE Model](https://huggingface.co/uukuguy/speechless-mistral-dolphin-orca-platypus-samantha-7b-dare-0.85)
|
| 15 |
+
- HuggingFaceH4/zephyr-7b-alpha [DARE Model](https://huggingface.co/uukuguy/zephyr-7b-alpha-dare-0.85)
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bhenrym14/mistral-7b-platypus-fp16-lora/README.md
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---
|
| 2 |
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library_name: peft
|
| 3 |
+
---
|
| 4 |
+
## Training procedure
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 8 |
+
- quant_method: bitsandbytes
|
| 9 |
+
- load_in_8bit: False
|
| 10 |
+
- load_in_4bit: True
|
| 11 |
+
- llm_int8_threshold: 6.0
|
| 12 |
+
- llm_int8_skip_modules: None
|
| 13 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 14 |
+
- llm_int8_has_fp16_weight: False
|
| 15 |
+
- bnb_4bit_quant_type: nf4
|
| 16 |
+
- bnb_4bit_use_double_quant: True
|
| 17 |
+
- bnb_4bit_compute_dtype: bfloat16
|
| 18 |
+
### Framework versions
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
- PEFT 0.5.0
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bhenrym14/mistral-7b-platypus-fp16-lora/adapter_config.json
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{
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"auto_mapping": null,
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| 3 |
+
"base_model_name_or_path": "/opt/local/llm_models/huggingface.co/mistralai/Mistral-7B-v0.1",
|
| 4 |
+
"bias": "none",
|
| 5 |
+
"fan_in_fan_out": false,
|
| 6 |
+
"inference_mode": true,
|
| 7 |
+
"init_lora_weights": true,
|
| 8 |
+
"layers_pattern": null,
|
| 9 |
+
"layers_to_transform": null,
|
| 10 |
+
"lora_alpha": 16,
|
| 11 |
+
"lora_dropout": 0.05,
|
| 12 |
+
"modules_to_save": null,
|
| 13 |
+
"peft_type": "LORA",
|
| 14 |
+
"r": 64,
|
| 15 |
+
"revision": null,
|
| 16 |
+
"target_modules": [
|
| 17 |
+
"q_proj",
|
| 18 |
+
"o_proj",
|
| 19 |
+
"k_proj",
|
| 20 |
+
"v_proj",
|
| 21 |
+
"up_proj",
|
| 22 |
+
"gate_proj",
|
| 23 |
+
"down_proj"
|
| 24 |
+
],
|
| 25 |
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"task_type": "CAUSAL_LM"
|
| 26 |
+
}
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bhenrym14/mistral-7b-platypus-fp16-lora/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:27879d32fc24b1fd33a9a81de41a26c9b03491a28662943d6019de208998a57a
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| 3 |
+
size 335699405
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jondurbin/airoboros-m-7b-3.1.2-lora/README.md
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---
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| 2 |
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library_name: peft
|
| 3 |
+
---
|
| 4 |
+
## Training procedure
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 8 |
+
- quant_method: bitsandbytes
|
| 9 |
+
- load_in_8bit: False
|
| 10 |
+
- load_in_4bit: True
|
| 11 |
+
- llm_int8_threshold: 6.0
|
| 12 |
+
- llm_int8_skip_modules: None
|
| 13 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 14 |
+
- llm_int8_has_fp16_weight: False
|
| 15 |
+
- bnb_4bit_quant_type: nf4
|
| 16 |
+
- bnb_4bit_use_double_quant: True
|
| 17 |
+
- bnb_4bit_compute_dtype: bfloat16
|
| 18 |
+
### Framework versions
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
- PEFT 0.5.0
|
jondurbin/airoboros-m-7b-3.1.2-lora/adapter_config.json
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{
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| 2 |
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"auto_mapping": null,
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| 3 |
+
"base_model_name_or_path": "/opt/local/llm_models/huggingface.co/mistralai/Mistral-7B-v0.1",
|
| 4 |
+
"bias": "none",
|
| 5 |
+
"fan_in_fan_out": false,
|
| 6 |
+
"inference_mode": true,
|
| 7 |
+
"init_lora_weights": true,
|
| 8 |
+
"layers_pattern": null,
|
| 9 |
+
"layers_to_transform": null,
|
| 10 |
+
"lora_alpha": 16,
|
| 11 |
+
"lora_dropout": 0.05,
|
| 12 |
+
"modules_to_save": null,
|
| 13 |
+
"peft_type": "LORA",
|
| 14 |
+
"r": 64,
|
| 15 |
+
"revision": null,
|
| 16 |
+
"target_modules": [
|
| 17 |
+
"gate_proj",
|
| 18 |
+
"q_proj",
|
| 19 |
+
"k_proj",
|
| 20 |
+
"up_proj",
|
| 21 |
+
"v_proj",
|
| 22 |
+
"o_proj",
|
| 23 |
+
"down_proj"
|
| 24 |
+
],
|
| 25 |
+
"task_type": "CAUSAL_LM"
|
| 26 |
+
}
|
jondurbin/airoboros-m-7b-3.1.2-lora/adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
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|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b658714e9d4bd421c6c0d7f0e0529eb129f70c9187fc6769b49e3cf9616de1f1
|
| 3 |
+
size 335699405
|
migtissera/SynthIA-7B-v1.3-lora/README.md
ADDED
|
@@ -0,0 +1,21 @@
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|
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|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
## Training procedure
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 8 |
+
- quant_method: bitsandbytes
|
| 9 |
+
- load_in_8bit: False
|
| 10 |
+
- load_in_4bit: True
|
| 11 |
+
- llm_int8_threshold: 6.0
|
| 12 |
+
- llm_int8_skip_modules: None
|
| 13 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 14 |
+
- llm_int8_has_fp16_weight: False
|
| 15 |
+
- bnb_4bit_quant_type: nf4
|
| 16 |
+
- bnb_4bit_use_double_quant: True
|
| 17 |
+
- bnb_4bit_compute_dtype: bfloat16
|
| 18 |
+
### Framework versions
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
- PEFT 0.5.0
|
migtissera/SynthIA-7B-v1.3-lora/adapter_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": "/opt/local/llm_models/huggingface.co/mistralai/Mistral-7B-v0.1",
|
| 4 |
+
"bias": "none",
|
| 5 |
+
"fan_in_fan_out": false,
|
| 6 |
+
"inference_mode": true,
|
| 7 |
+
"init_lora_weights": true,
|
| 8 |
+
"layers_pattern": null,
|
| 9 |
+
"layers_to_transform": null,
|
| 10 |
+
"lora_alpha": 16,
|
| 11 |
+
"lora_dropout": 0.05,
|
| 12 |
+
"modules_to_save": null,
|
| 13 |
+
"peft_type": "LORA",
|
| 14 |
+
"r": 64,
|
| 15 |
+
"revision": null,
|
| 16 |
+
"target_modules": [
|
| 17 |
+
"down_proj",
|
| 18 |
+
"up_proj",
|
| 19 |
+
"gate_proj",
|
| 20 |
+
"q_proj",
|
| 21 |
+
"v_proj",
|
| 22 |
+
"o_proj",
|
| 23 |
+
"k_proj"
|
| 24 |
+
],
|
| 25 |
+
"task_type": "CAUSAL_LM"
|
| 26 |
+
}
|
migtissera/SynthIA-7B-v1.3-lora/adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:85a6e22e1ec47ca55d5d68e0e70a549b6bcec8c7713d4537dca181b5d389d277
|
| 3 |
+
size 335699405
|
teknium/CollectiveCognition-v1.1-Mistral-7B-lora/README.md
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
## Training procedure
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 8 |
+
- quant_method: bitsandbytes
|
| 9 |
+
- load_in_8bit: False
|
| 10 |
+
- load_in_4bit: True
|
| 11 |
+
- llm_int8_threshold: 6.0
|
| 12 |
+
- llm_int8_skip_modules: None
|
| 13 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 14 |
+
- llm_int8_has_fp16_weight: False
|
| 15 |
+
- bnb_4bit_quant_type: nf4
|
| 16 |
+
- bnb_4bit_use_double_quant: True
|
| 17 |
+
- bnb_4bit_compute_dtype: bfloat16
|
| 18 |
+
### Framework versions
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
- PEFT 0.5.0
|
teknium/CollectiveCognition-v1.1-Mistral-7B-lora/adapter_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": "/opt/local/llm_models/huggingface.co/mistralai/Mistral-7B-v0.1",
|
| 4 |
+
"bias": "none",
|
| 5 |
+
"fan_in_fan_out": false,
|
| 6 |
+
"inference_mode": true,
|
| 7 |
+
"init_lora_weights": true,
|
| 8 |
+
"layers_pattern": null,
|
| 9 |
+
"layers_to_transform": null,
|
| 10 |
+
"lora_alpha": 16,
|
| 11 |
+
"lora_dropout": 0.05,
|
| 12 |
+
"modules_to_save": null,
|
| 13 |
+
"peft_type": "LORA",
|
| 14 |
+
"r": 64,
|
| 15 |
+
"revision": null,
|
| 16 |
+
"target_modules": [
|
| 17 |
+
"down_proj",
|
| 18 |
+
"up_proj",
|
| 19 |
+
"q_proj",
|
| 20 |
+
"o_proj",
|
| 21 |
+
"gate_proj",
|
| 22 |
+
"v_proj",
|
| 23 |
+
"k_proj"
|
| 24 |
+
],
|
| 25 |
+
"task_type": "CAUSAL_LM"
|
| 26 |
+
}
|
teknium/CollectiveCognition-v1.1-Mistral-7B-lora/adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:38c0a85edad68eb94df969fb53bf7d6e8c8965f36d29430551d720fc74432baa
|
| 3 |
+
size 335699405
|
uukuguy/speechless-mistral-dolphin-orca-platypus-samantha-7b-lora/README.md
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
## Training procedure
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 8 |
+
- quant_method: bitsandbytes
|
| 9 |
+
- load_in_8bit: False
|
| 10 |
+
- load_in_4bit: True
|
| 11 |
+
- llm_int8_threshold: 6.0
|
| 12 |
+
- llm_int8_skip_modules: None
|
| 13 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 14 |
+
- llm_int8_has_fp16_weight: False
|
| 15 |
+
- bnb_4bit_quant_type: nf4
|
| 16 |
+
- bnb_4bit_use_double_quant: True
|
| 17 |
+
- bnb_4bit_compute_dtype: bfloat16
|
| 18 |
+
### Framework versions
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
- PEFT 0.5.0
|
uukuguy/speechless-mistral-dolphin-orca-platypus-samantha-7b-lora/adapter_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": "/opt/local/llm_models/huggingface.co/mistralai/Mistral-7B-v0.1",
|
| 4 |
+
"bias": "none",
|
| 5 |
+
"fan_in_fan_out": false,
|
| 6 |
+
"inference_mode": true,
|
| 7 |
+
"init_lora_weights": true,
|
| 8 |
+
"layers_pattern": null,
|
| 9 |
+
"layers_to_transform": null,
|
| 10 |
+
"lora_alpha": 16,
|
| 11 |
+
"lora_dropout": 0.05,
|
| 12 |
+
"modules_to_save": null,
|
| 13 |
+
"peft_type": "LORA",
|
| 14 |
+
"r": 64,
|
| 15 |
+
"revision": null,
|
| 16 |
+
"target_modules": [
|
| 17 |
+
"k_proj",
|
| 18 |
+
"down_proj",
|
| 19 |
+
"v_proj",
|
| 20 |
+
"gate_proj",
|
| 21 |
+
"q_proj",
|
| 22 |
+
"up_proj",
|
| 23 |
+
"o_proj"
|
| 24 |
+
],
|
| 25 |
+
"task_type": "CAUSAL_LM"
|
| 26 |
+
}
|
uukuguy/speechless-mistral-dolphin-orca-platypus-samantha-7b-lora/adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e534efaf82d032bb70cfa5636df8517545c0171a1185c4e60f1a3c5908a0baf6
|
| 3 |
+
size 335699405
|