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commited on
Commit
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Parent(s):
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* Added rank 128 adapters for VAGOsolutions/SauerkrautLM-v2-14b-DPO and sthenno-com/miscii-14b-1028
Browse files- VAGOsolutions/SauerkrautLM-v2-14b-DPO/Qwen/Qwen2.5-14B-Instruct-rank128/README.md +25 -0
- VAGOsolutions/SauerkrautLM-v2-14b-DPO/Qwen/Qwen2.5-14B-Instruct-rank128/adapter_config.json +38 -0
- VAGOsolutions/SauerkrautLM-v2-14b-DPO/Qwen/Qwen2.5-14B-Instruct-rank128/adapter_model.safetensors +3 -0
- sthenno-com/miscii-14b-1028/Qwen/Qwen2.5-14B-Instruct-rank128/README.md +25 -0
- sthenno-com/miscii-14b-1028/Qwen/Qwen2.5-14B-Instruct-rank128/adapter_config.json +38 -0
- sthenno-com/miscii-14b-1028/Qwen/Qwen2.5-14B-Instruct-rank128/adapter_model.safetensors +3 -0
VAGOsolutions/SauerkrautLM-v2-14b-DPO/Qwen/Qwen2.5-14B-Instruct-rank128/README.md
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---
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base_model:
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- Qwen/Qwen2.5-14B-Instruct
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- VAGOsolutions/SauerkrautLM-v2-14b-DPO
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library_name: transformers
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tags:
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- mergekit
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- peft
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---
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# Untitled LoRA Model (1)
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This is a LoRA extracted from a language model. It was extracted using [mergekit](https://github.com/arcee-ai/mergekit).
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## LoRA Details
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This LoRA adapter was extracted from [VAGOsolutions/SauerkrautLM-v2-14b-DPO](https://huggingface.co/VAGOsolutions/SauerkrautLM-v2-14b-DPO) and uses [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) as a base.
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### Parameters
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The following command was used to extract this LoRA adapter:
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```sh
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mergekit-extract-lora VAGOsolutions/SauerkrautLM-v2-14b-DPO Qwen/Qwen2.5-14B-Instruct OUTPUT_PATH --rank=128
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```
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VAGOsolutions/SauerkrautLM-v2-14b-DPO/Qwen/Qwen2.5-14B-Instruct-rank128/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": "Qwen/Qwen2.5-14B-Instruct",
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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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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 128,
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"lora_dropout": 0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": [
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"input_layernorm",
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"norm",
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"post_attention_layernorm"
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],
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"peft_type": "LORA",
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"r": 128,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"o_proj",
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"k_proj",
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"lm_head",
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"embed_tokens",
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"v_proj",
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"down_proj",
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"gate_proj",
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"q_proj",
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"up_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_rslora": false
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}
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VAGOsolutions/SauerkrautLM-v2-14b-DPO/Qwen/Qwen2.5-14B-Instruct-rank128/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4c662c322e117212383b4d898e7c4b8bb5a2c65f454ffc5f474ca91fe6b949b6
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size 1182582064
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sthenno-com/miscii-14b-1028/Qwen/Qwen2.5-14B-Instruct-rank128/README.md
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---
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base_model:
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- Qwen/Qwen2.5-14B-Instruct
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- sthenno-com/miscii-14b-1028
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library_name: transformers
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tags:
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- mergekit
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- peft
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+
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+
---
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# Untitled LoRA Model (1)
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This is a LoRA extracted from a language model. It was extracted using [mergekit](https://github.com/arcee-ai/mergekit).
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## LoRA Details
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This LoRA adapter was extracted from [sthenno-com/miscii-14b-1028](https://huggingface.co/sthenno-com/miscii-14b-1028) and uses [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) as a base.
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### Parameters
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The following command was used to extract this LoRA adapter:
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```sh
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mergekit-extract-lora sthenno-com/miscii-14b-1028 Qwen/Qwen2.5-14B-Instruct OUTPUT_PATH --rank=128
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```
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sthenno-com/miscii-14b-1028/Qwen/Qwen2.5-14B-Instruct-rank128/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": "Qwen/Qwen2.5-14B-Instruct",
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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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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 128,
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"lora_dropout": 0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": [
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"post_attention_layernorm",
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"norm",
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"input_layernorm"
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],
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"peft_type": "LORA",
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"r": 128,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"o_proj",
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+
"embed_tokens",
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"up_proj",
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"k_proj",
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+
"v_proj",
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+
"lm_head",
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+
"gate_proj",
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+
"q_proj",
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"down_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_rslora": false
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}
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sthenno-com/miscii-14b-1028/Qwen/Qwen2.5-14B-Instruct-rank128/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:40d37e8456d204507510ebaed8e33f8b21d65d3ff19942ab469a533fdfb5d87b
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size 1182582064
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