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README.md
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README.md
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# Skywork-o1-Open-Llama-3.1-8B_a13807534601269248505062
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---
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license: other
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base_model: Skywork/Skywork-o1-Open-Llama-3.1-8B
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- abliterated
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- uncensored
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---
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Skywork-o1-Open-Llama-3.1-8B
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# huihui-ai/Skywork-o1-Open-Llama-3.1-8B-abliterated
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This is an uncensored version of [Skywork/Skywork-o1-Open-Llama-3.1-8B](https://huggingface.co/Skywork/Skywork-o1-Open-Llama-3.1-8B) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it).
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This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.
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## ollama
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You can use [huihui_ai/skywork-o1-abliterated](https://ollama.com/huihui_ai/skywork-o1-abliterated) directly,
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```
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ollama run huihui_ai/skywork-o1-abliterated
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```
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{
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"_name_or_path": "Skywork-o1-Open-Llama3.1-8B",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"eos_token_id": [
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128001,
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128008,
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128009
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],
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 131072,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"factor": 8.0,
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"high_freq_factor": 4.0,
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"low_freq_factor": 1.0,
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"original_max_position_embeddings": 8192,
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"rope_type": "llama3"
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},
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"rope_theta": 500000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.44.0",
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"use_cache": false,
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"vocab_size": 128256
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}
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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{
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"bos_token_id": 128000,
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"do_sample": true,
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"eos_token_id": [
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128001,
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128008,
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128009
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],
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "4.44.0"
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}
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{
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"metadata": {
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@ -0,0 +1,23 @@
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}
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}
|
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Reference in New Issue