Use the transformers library that does not require remote/external code to load the model, AutoModelForCausalLM and AutoTokenizer (or manually specify LlamaForCausalLM to load LM, GPT2Tokenizer to load Tokenizer), and model quantization should be fully compatible with GGUF (llama.cpp), GPTQ, and AWQ.
Please note that the model was trained on unfiltered internet data. Since we do not have the capacity to vet all of it, there may be a substantial amount of objectionable content, pornography, violence, and offensive language present that we are unable to remove. Therefore, you will still need to complete your own checks on the model's safety and filter keywords in the output. Due to computational resource constraints, we are presently unable to implement RLHF for the model's ethics and safety, nor training on SFT samples that refuse to answer certain questions for restrictive fine-tuning.
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34B-preview huggingface.co is an AI model on huggingface.co that provides 34B-preview's model effect (), which can be used instantly with this CausalLM 34B-preview model. huggingface.co supports a free trial of the 34B-preview model, and also provides paid use of the 34B-preview. Support call 34B-preview model through api, including Node.js, Python, http.
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34B-preview is an open source model from GitHub that offers a free installation service, and any user can find 34B-preview on GitHub to install. At the same time, huggingface.co provides the effect of 34B-preview install, users can directly use 34B-preview installed effect in huggingface.co for debugging and trial. It also supports api for free installation.