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Model: huihui-ai/c4ai-command-r7b-12-2024-abliterated
Source: Original Platform

.gitattributes

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README.md

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+---
+inference: false
+library_name: transformers
+language:
+- en
+- fr
+- de
+- es
+- it
+- pt
+- ja
+- ko
+- zh
+- ar
+- el
+- fa
+- pl
+- id
+- cs
+- he
+- hi
+- nl
+- ro
+- ru
+- tr
+- uk
+- vi
+license: cc-by-nc-4.0
+extra_gated_prompt: >-
+  By submitting this form, you agree to the [License
+  Agreement](https://cohere.com/c4ai-cc-by-nc-license)  and acknowledge that the
+  information you provide will be collected, used, and shared in accordance with
+  Cohere’s [Privacy Policy]( https://cohere.com/privacy). You’ll receive email
+  updates about C4AI and Cohere research, events, products and services. You can
+  unsubscribe at any time.
+extra_gated_fields:
+  Name: text
+  Affiliation: text
+  Country: country
+  I agree to use this model for non-commercial use ONLY: checkbox
+tags:
+- abliterated
+- uncensored
+base_model:
+- CohereForAI/c4ai-command-r7b-12-2024
+---
+
+# huihui-ai/c4ai-command-r7b-12-2024-abliterated
+
+
+This is an uncensored version of [CohereForAI/c4ai-command-r7b-12-2024](https://huggingface.co/CohereForAI/c4ai-command-r7b-12-2024) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it).  
+This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.
+
+## Use with ollama
+**Note:** this model requires [Ollama 0.5.5](https://github.com/ollama/ollama/releases/tag/v0.5.5)  
+
+You can use [huihui_ai/command-r7b-abliterated](https://ollama.com/huihui_ai/command-r7b-abliterated) directly
+```
+ollama run huihui_ai/command-r7b-abliterated
+```

config.json

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+{
+  "_name_or_path": "CohereForAI/c4ai-command-r7b-12-2024",
+  "architectures": [
+    "Cohere2ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 5,
+  "cache_implementation": "hybrid",
+  "eos_token_id": 255001,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
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+  "layer_norm_eps": 1e-05,
+  "layer_switch": 4,
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+  "max_position_embeddings": 8192,
+  "model_type": "cohere2",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "order_of_interleaved_layers": "local_attn_first",
+  "pad_token_id": 0,
+  "position_embedding_type": "rope_gptj",
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+  "rope_theta": 50000,
+  "rotary_pct": 1.0,
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+  "sliding_window_pattern": 4,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.48.0.dev0",
+  "use_cache": true,
+  "use_embedding_sharing": true,
+  "use_gated_activation": true,
+  "use_parallel_block": true,
+  "use_parallel_embedding": true,
+  "vocab_size": 256000
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

generation_config.json

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+  "cache_implementation": "hybrid",
+  "eos_token_id": 255001,
+  "pad_token_id": 0,
+  "transformers_version": "4.48.0.dev0"
+}

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