commit 3a82522a7c78b6614e383b1d3fd254347a8b09ac Author: ModelHub XC Date: Thu Jun 25 17:32:17 2026 +0800 初始化项目,由ModelHub XC社区提供模型 Model: Local-Novel-LLM-project/Ninja-v1 Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..a6344aa --- /dev/null +++ b/.gitattributes @@ -0,0 +1,35 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..6620052 --- /dev/null +++ b/README.md @@ -0,0 +1,99 @@ +--- +license: apache-2.0 +language: +- en +- ja +tags: +- finetuned +library_name: transformers +pipeline_tag: text-generation +--- + + +# Our Models +- [Vecteus](https://huggingface.co/Local-Novel-LLM-project/Vecteus-v1) + +- [Ninja-v1](https://huggingface.co/Local-Novel-LLM-project/Ninja-v1) + +- [Ninja-v1-NSFW](https://huggingface.co/Local-Novel-LLM-project/Ninja-v1-NSFW) + +- [Ninja-v1-128k](https://huggingface.co/Local-Novel-LLM-project/Ninja-v1-128k) + +- [Ninja-v1-NSFW-128k](https://huggingface.co/Local-Novel-LLM-project/Ninja-v1-NSFW-128k) + +## Model Card for Ninja-v1.0 + +The Mistral-7B--based Large Language Model (LLM) is an noveldataset fine-tuned version of the Mistral-7B-v0.1 + +Ninja has the following changes compared to Mistral-7B-v0.1. +- Achieving both high quality Japanese and English generation +- Memory ability that does not forget even after long-context generation + +This model was created with the help of GPUs from the first LocalAI hackathon. + +We would like to take this opportunity to thank + +## List of Creation Methods + +- Chatvector for multiple models +- Simple linear merging of result models +- Domain and Sentence Enhancement with LORA +- Context expansion + +## Instruction format + + Ninja adopts the prompt format from Vicuna and supports multi-turn conversation. + The prompt should be as following: + ``` + USER: Hi ASSISTANT: Hello. + USER: Who are you? + ASSISTANT: I am ninja. + ``` + +## Example prompts to improve (Japanese) + + - BAD: あなたは○○として振る舞います + - GOOD: あなたは○○です + + - BAD: あなたは○○ができます + - GOOD: あなたは○○をします + +## Performing inference + +```python +from transformers import AutoModelForCausalLM, AutoTokenizer +import torch + +model_id = "Local-Novel-LLM-project/Ninja-v1" +new_tokens = 1024 + +model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True, torch_dtype=torch.float16, attn_implementation="flash_attention_2", device_map="auto") +tokenizer = AutoTokenizer.from_pretrained(model_id) + +system_prompt = "あなたはプロの小説家です。\n小説を書いてください\n-------- " + +prompt = input("Enter a prompt: ") +system_prompt += prompt + "\n-------- " +model_inputs = tokenizer([system_prompt], return_tensors="pt").to("cuda") + + +generated_ids = model.generate(**model_inputs, max_new_tokens=new_tokens, do_sample=True) +print(tokenizer.batch_decode(generated_ids)[0]) +```` + +## Merge recipe + +- WizardLM2 - mistralai/Mistral-7B-v0.1 +- Elizezen/Antler-7B - stabilityai/japanese-stablelm-instruct-gamma-7b +- NTQAI/chatntq-ja-7b-v1.0 + +The characteristics of each model are as follows. + +- WizardLM2: High quality multitasking model +- Antler-7B: Model specialized for novel writing +- NTQAI/chatntq-ja-7b-v1.0 High quality Japanese specialized model + +## Other points to keep in mind +- The training data may be biased. Be careful with the generated sentences. +- Memory usage may be large for long inferences. +- If possible, we recommend inferring with llamacpp rather than Transformers. \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..c1e9056 --- /dev/null +++ b/config.json @@ -0,0 +1,26 @@ +{ + "_name_or_path": "NovelHacja/Wizardntq-ja-7B", + "architectures": [ + "MistralForCausalLM" + ], + "attention_dropout": 0.0, + "bos_token_id": 1, + "eos_token_id": 2, + "hidden_act": "silu", + "hidden_size": 4096, + "initializer_range": 0.02, + "intermediate_size": 14336, + "max_position_embeddings": 4096, + "model_type": "mistral", + "num_attention_heads": 32, + "num_hidden_layers": 32, + "num_key_value_heads": 8, + "rms_norm_eps": 1e-05, + "rope_theta": 10000.0, + "sliding_window": 4096, + "tie_word_embeddings": false, + "torch_dtype": "bfloat16", + "transformers_version": "4.39.3", + "use_cache": true, + "vocab_size": 32000 +} diff --git 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