Upload README.md

README.md

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+---
+license: other
+language:
+- en
+pipeline_tag: text-generation
+inference: false
+tags:
+- transformers
+- gguf
+- imatrix
+- c4ai-command-r7b-12-2024
+---
+Quantizations of https://huggingface.co/CohereForAI/c4ai-command-r7b-12-2024
+
+**Note**: you will need llama.cpp [b4415](https://github.com/ggerganov/llama.cpp/releases/tag/b4415) or later to run the model.
+
+### Inference Clients/UIs
+* [llama.cpp](https://github.com/ggerganov/llama.cpp)
+* [KoboldCPP](https://github.com/LostRuins/koboldcpp)
+* [ollama](https://github.com/ollama/ollama)
+* [jan](https://github.com/janhq/jan)
+* [text-generation-webui](https://github.com/oobabooga/text-generation-webui)
+* [GPT4All](https://github.com/nomic-ai/gpt4all)
+---
+
+# From original readme
+
+C4AI Command R7B is an open weights research release of a 7B billion parameter model with advanced capabilities optimized for a variety of use cases including reasoning, summarization, question answering, and code. The model is trained to perform sophisticated tasks including Retrieval Augmented Generation (RAG) and tool use. The model also has powerful agentic capabilities with the ability to use and combine multiple tools over multiple steps to accomplish more difficult tasks. It obtains top performance on enterprise relevant code use cases. C4AI Command R7B is a multilingual model trained on 23 languages. 
+
+Developed by: [Cohere](https://cohere.com/) and [Cohere For AI](https://cohere.for.ai/)
+
+* Point of Contact: Cohere For AI: [cohere.for.ai](https://cohere.for.ai/)  
+* License: [CC-BY-NC](https://cohere.com/c4ai-cc-by-nc-license), requires also adhering to [C4AI's Acceptable Use Policy](https://docs.cohere.com/docs/c4ai-acceptable-use-policy)  
+* Model: c4ai-command-r7b-12-2024  
+* Model Size: 7 billion parameters  
+* Context length: 128K
+
+
+**Try C4AI Command R7B**
+
+You can try out C4AI Command R7B before downloading the weights in our hosted [Hugging Face Space](https://cohereforai-c4ai-command.hf.space/models/command-r7b-12-2024).
+
+
+**Usage**
+
+Please install transformers from the source repository that includes the necessary changes for this model.
+
+```py
+# pip install 'git+https://github.com/huggingface/transformers.git'
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_id = "CohereForAI/c4ai-command-r7b-12-2024"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id)
+
+# Format message with the c4ai-command-r7b-12-2024 chat template
+messages = [{"role": "user", "content": "Hello, how are you?"}]
+input_ids = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt")
+
+gen_tokens = model.generate(
+    input_ids,
+    max_new_tokens=100,
+    do_sample=True,
+    temperature=0.3,
+)
+
+gen_text = tokenizer.decode(gen_tokens[0], skip_special_tokens=True)
+print(gen_text)
+```