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@@ -7,7 +7,7 @@ tags:
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  - moe
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  ---
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- ### Mini-Jamba
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  [**Experimental Version**] We initialized the model according to [Jamba](https://huggingface.co/ai21labs/Jamba-v0.1), but with much smaller parameters. It was then trained using about 1B of python code, and has the simplest python code generation capabilities.
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@@ -31,12 +31,12 @@ prompt = '''def min(arr):
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  '''
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  tokenizer = AutoTokenizer.from_pretrained(
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- "TechxGenus/Mini-Jamba",
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  trust_remote_code=True,
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  )
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  tokenizer.pad_token = tokenizer.eos_token
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  model = AutoModelForCausalLM.from_pretrained(
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- "TechxGenus/Mini-Jamba",
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  torch_dtype=torch.float16,
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  device_map="auto",
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  trust_remote_code=True,
 
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  - moe
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  ---
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+ ### Mini-Jamba-v2
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  [**Experimental Version**] We initialized the model according to [Jamba](https://huggingface.co/ai21labs/Jamba-v0.1), but with much smaller parameters. It was then trained using about 1B of python code, and has the simplest python code generation capabilities.
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  '''
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  tokenizer = AutoTokenizer.from_pretrained(
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+ "TechxGenus/Mini-Jamba-v2",
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  trust_remote_code=True,
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  )
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  tokenizer.pad_token = tokenizer.eos_token
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  model = AutoModelForCausalLM.from_pretrained(
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+ "TechxGenus/Mini-Jamba-v2",
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  torch_dtype=torch.float16,
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  device_map="auto",
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  trust_remote_code=True,