pvlabs
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PingVortexLM1-20M-Base

Text Generation

text-generation-inference

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PingVortex commited on 21 days ago

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@@ -9,7 +9,7 @@ tags:
 - experimental
 library_name: transformers
 ---
-# PingVortexLM-20M
 A small experimental language model based on LLaMA architecture trained on custom high-quality English dataset with around 200M tokens.
 This model is just an experiment, it is not designed for coherent text generation or logical reasoning and may produce repetitive or nonsensical outputs.
@@ -27,8 +27,8 @@ Built by [PingVortex Labs](https://github.com/PingVortexLabs).
 ```python
 from transformers import LlamaForCausalLM, PreTrainedTokenizerFast
-model = LlamaForCausalLM.from_pretrained("pvlabs/PingVortexLM-20M-v2-Base")
-tokenizer = PreTrainedTokenizerFast.from_pretrained("pvlabs/PingVortexLM-20M-v2-Base")
 # don't expect a coherent response
 prompt = "The capital of France is"

 - experimental
 library_name: transformers
 ---
+# PingVortexLM1-20M-Base
 A small experimental language model based on LLaMA architecture trained on custom high-quality English dataset with around 200M tokens.
 This model is just an experiment, it is not designed for coherent text generation or logical reasoning and may produce repetitive or nonsensical outputs.
 ```python
 from transformers import LlamaForCausalLM, PreTrainedTokenizerFast
+model = LlamaForCausalLM.from_pretrained("pvlabs/PingVortexLM1-20M-Base")
+tokenizer = PreTrainedTokenizerFast.from_pretrained("pvlabs/PingVortexLM1-20M-Base")
 # don't expect a coherent response
 prompt = "The capital of France is"