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docs: update model with new name

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  1. README.md +7 -6
README.md CHANGED
@@ -1,5 +1,7 @@
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  ---
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  license: other
 
 
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  pipeline_tag: text-generation
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  language:
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  - en
@@ -10,10 +12,10 @@ tags:
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  - qwen2
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  ---
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- # FeatherQwen2-72B-v0.1
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  ## Model Description
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- FeatherQwen is a 72B parameter language model created through a merge of Qwen2-72B-Instruct, calme2.1-72b, and magnum-72b-v1 using `model_stock`.
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  ## Features
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  - 72 billion parameters
@@ -44,15 +46,14 @@ Custom script utilizing safetensors library.
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  import torch
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- model = AutoModelForCausalLM.from_pretrained("leafspark/FeatherQwen2-72B-v0.1",
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  device_map="auto",
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  torch_dtype=torch.float16)
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- tokenizer = AutoTokenizer.from_pretrained("leafspark/FeatherQwen2-72B-v0.1")
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  ```
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  ### GGUFs
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- Find them here: [leafspark/FeatherQwen2-72B-v0.1-GGUF](https://huggingface.co/leafspark/FeatherQwen2-72B-v0.1-GGUF)
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-
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  ### Hardware Requirements
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  - Minimum ~140GB of storage
 
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  ---
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  license: other
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+ license_name: tongyi-qianwen
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+ license_link: https://huggingface.co/Qwen/Qwen2-72B-Instruct/blob/main/LICENSE
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  pipeline_tag: text-generation
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  language:
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  - en
 
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  - qwen2
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  ---
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+ # Iridium-72B-v0.1
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  ## Model Description
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+ Iridium is a 72B parameter language model created through a merge of Qwen2-72B-Instruct, calme2.1-72b, and magnum-72b-v1 using `model_stock`.
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  ## Features
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  - 72 billion parameters
 
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  import torch
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+ model = AutoModelForCausalLM.from_pretrained("leafspark/Iridium-72B-v0.1",
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  device_map="auto",
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  torch_dtype=torch.float16)
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+ tokenizer = AutoTokenizer.from_pretrained("leafspark/Iridium-72B-v0.1")
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  ```
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  ### GGUFs
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+ Find them here: [leafspark/Iridium-72B-v0.1-GGUF](https://huggingface.co/leafspark/Iridium-72B-v0.1-GGUF)
 
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  ### Hardware Requirements
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  - Minimum ~140GB of storage