commit 8179d8b782c4b2d5e7b37c02cb3b48a4d286c9d0 Author: ModelHub XC Date: Tue Aug 11 14:15:16 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: Mungert/rwkv7-0.1B-g1-GGUF Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..25f2fe6 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,70 @@ +*.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 +rwkv7-0.1B-g1-f16.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-f16_q8_0.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-bf16_q8_0.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-f16_q6_k.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-bf16_q6_k.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-f16_q4_k.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-bf16_q4_k.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-q3_k_l.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-q4_k_l.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-q5_k_l.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-q6_k_l.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-q3_k_m.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-q3_k_s.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-q4_k_m.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-q4_k_s.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-q5_k_m.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-q5_k_s.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-q6_k_m.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-q8_0.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-q4_0.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-q4_1.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-q4_0_l.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-q4_1_l.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-q5_0.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-q5_1.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-q5_0_l.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-q5_1_l.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-iq3_xs.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-iq3_xxs.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-iq3_s.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-iq3_m.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-iq4_xs.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-iq4_nl.gguf filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1.imatrix filter=lfs diff=lfs merge=lfs -text +rwkv7-0.1B-g1-bf16.gguf filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..3ec4ea0 --- /dev/null +++ b/README.md @@ -0,0 +1,225 @@ +--- +base_model: +- BlinkDL/rwkv7-g1 +language: +- en +- zh +- ja +- ko +- fr +- ar +- es +- pt +license: apache-2.0 +metrics: +- accuracy +pipeline_tag: text-generation +library_name: transformers +--- + +# rwkv7-0.1B-g1 GGUF Models + + +## Model Generation Details + +This model was generated using [llama.cpp](https://github.com/ggerganov/llama.cpp) at commit [`e4868d16`](https://github.com/ggerganov/llama.cpp/commit/e4868d16d24dec55e61bcaadaca28feed8f98b13). + + + + + + +--- + + + Click here to get info on choosing the right GGUF model format + + +--- + + + + + + +# rwkv7-0.1B-g1 + + + +This is RWKV-7 g1 model under flash-linear attention format. The `g1` model series added significant more data and incorporated deep thinking abilities. + +## Model Details + + +### Model Description + + + +- **Developed by:** Bo Peng, Yu Zhang, Songlin Yang, Ruichong Zhang +- **Funded by:** RWKV Project (Under LF AI & Data Foundation) +- **Model type:** RWKV7 +- **Language(s) (NLP):** Multilingal +- **License:** Apache-2.0 +- **Parameter count:** 191M +- **Tokenizer:** RWKV World tokenizer +- **Vocabulary size:** 65,536 + +### Model Sources + + + +- **Repository:** https://github.com/fla-org/flash-linear-attention ; https://github.com/BlinkDL/RWKV-LM +- **Paper:** https://arxiv.org/abs/2503.14456 + +## Uses + + +Install `flash-linear-attention` and the latest version of `transformers` before using this model: + +```bash +pip install git+https://github.com/fla-org/flash-linear-attention +pip install 'transformers>=4.48.0' +``` + +### Direct Use + + +You can use this model just as any other HuggingFace models: +```python +from transformers import AutoModelForCausalLM, AutoTokenizer +model = AutoModelForCausalLM.from_pretrained('fla-hub/rwkv7-0.1B-g1', trust_remote_code=True) +tokenizer = AutoTokenizer.from_pretrained('fla-hub/rwkv7-0.1B-g1', trust_remote_code=True) +model = model.cuda() # Supported on Nvidia/AMD/Intel eg. model.xpu() +prompt = "What is a large language model?" +messages = [ + {"role": "user", "content": prompt} +] +text = tokenizer.apply_chat_template( + messages, + tokenize=False, + add_generation_prompt=True, + enable_thinking=True # Default is True, set to False to disable thinking +) + +model_inputs = tokenizer([text], return_tensors="pt").to(model.device) +generated_ids = model.generate( + **model_inputs, + max_new_tokens=1024, + do_sample=True, + temperature=1.0, + top_p=0.3, + repetition_penalty=1.2 +) +generated_ids = [ + output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids) +] + +response = tokenizer.batch_decode(generated_ids, skip_special_tokens=False)[0] +print(response) +``` + +### Training Data + +This model is trained on the World v3.5 with a total of more than 5 trillion tokens. + +## FAQ +Q: safetensors metadata is none. + +A: upgrade transformers to >=4.48.0: `pip install 'transformers>=4.48.0'` + +## Thinking Prompt +``` +<|rwkv_tokenizer_end_of_text|>User: + +Assistant: ` (Token ID = 0) before your prompt. The model is incapable of attending the first token it receives due to state initialization issues.** + +Bad prompt example: +``` +Mathews lifted a dark brow. "Are you sure about that? I mean, wouldn't it be better to wait until Dale is home safe and sound?" + +"The longer I wait to tell her, the worse it will be for both of us." + +"Good luck. You're going to need it," said +``` +The model is unable to recall ` Mathews` because it is the very first token of the input. + +Good prompt example: +``` +<|rwkv_tokenizer_end_of_text|>Mathews lifted a dark brow. "Are you sure about that? I mean, wouldn't it be better to wait until Dale is home safe and sound?" + +"The longer I wait to tell her, the worse it will be for both of us." + +"Good luck. You're going to need it," said +``` +the model will output ` Mathews` as expected. + +Without this token: **`lambada_openai ppl=13.84 acc=48.13%`** + +With this token added: **`lambada_openai ppl=12.36 acc=49.12%`** + +Note: this phenomenon is very rare for Transformers but significant for RNNs. We speculate that the model uses the first token to pin the states, to better acquire information from later tokens. + + + +--- + +# 🚀 If you find these models useful + +Help me test my **AI-Powered Quantum Network Monitor Assistant** with **quantum-ready security checks**: + +👉 [Quantum Network Monitor](https://readyforquantum.com/?assistant=open&utm_source=huggingface&utm_medium=referral&utm_campaign=huggingface_repo_readme) + + +The full Open Source Code for the Quantum Network Monitor Service available at my github repos ( repos with NetworkMonitor in the name) : [Source Code Quantum Network Monitor](https://github.com/Mungert69). You will also find the code I use to quantize the models if you want to do it yourself [GGUFModelBuilder](https://github.com/Mungert69/GGUFModelBuilder) + +💬 **How to test**: + Choose an **AI assistant type**: + - `TurboLLM` (GPT-4.1-mini) + - `HugLLM` (Hugginface Open-source models) + - `TestLLM` (Experimental CPU-only) + +### **What I’m Testing** +I’m pushing the limits of **small open-source models for AI network monitoring**, specifically: +- **Function calling** against live network services +- **How small can a model go** while still handling: + - Automated **Nmap security scans** + - **Quantum-readiness checks** + - **Network Monitoring tasks** + +🟡 **TestLLM** – Current experimental model (llama.cpp on 2 CPU threads on huggingface docker space): +- ✅ **Zero-configuration setup** +- ⏳ 30s load time (slow inference but **no API costs**) . No token limited as the cost is low. +- 🔧 **Help wanted!** If you’re into **edge-device AI**, let’s collaborate! + +### **Other Assistants** +🟢 **TurboLLM** – Uses **gpt-4.1-mini** : +- **It performs very well but unfortunatly OpenAI charges per token. For this reason tokens usage is limited. +- **Create custom cmd processors to run .net code on Quantum Network Monitor Agents** +- **Real-time network diagnostics and monitoring** +- **Security Audits** +- **Penetration testing** (Nmap/Metasploit) + +🔵 **HugLLM** – Latest Open-source models: +- 🌐 Runs on Hugging Face Inference API. Performs pretty well using the lastest models hosted on Novita. + +### 💡 **Example commands you could test**: +1. `"Give me info on my websites SSL certificate"` +2. `"Check if my server is using quantum safe encyption for communication"` +3. `"Run a comprehensive security audit on my server"` +4. '"Create a cmd processor to .. (what ever you want)" Note you need to install a [Quantum Network Monitor Agent](https://readyforquantum.com/Download/?utm_source=huggingface&utm_medium=referral&utm_campaign=huggingface_repo_readme) to run the .net code on. This is a very flexible and powerful feature. Use with caution! + +### Final Word + +I fund the servers used to create these model files, run the Quantum Network Monitor service, and pay for inference from Novita and OpenAI—all out of my own pocket. All the code behind the model creation and the Quantum Network Monitor project is [open source](https://github.com/Mungert69). Feel free to use whatever you find helpful. + +If you appreciate the work, please consider [buying me a coffee](https://www.buymeacoffee.com/mahadeva) ☕. Your support helps cover service costs and allows me to raise token limits for everyone. + +I'm also open to job opportunities or sponsorship. + +Thank you! 😊 diff --git a/rwkv7-0.1B-g1-bf16.gguf b/rwkv7-0.1B-g1-bf16.gguf new file mode 100644 index 0000000..146a498 --- /dev/null +++ b/rwkv7-0.1B-g1-bf16.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:36181e89172fdcb833b2e754e091403ff9b37175f966b323b18ad367ae6e29f0 +size 386371008 diff --git a/rwkv7-0.1B-g1-bf16_q8_0.gguf b/rwkv7-0.1B-g1-bf16_q8_0.gguf new file mode 100644 index 0000000..e7bd1ab --- /dev/null +++ b/rwkv7-0.1B-g1-bf16_q8_0.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:aefb5fc220088265a0fcfc71f90b210c5f7d568c6b3269317b07d2d71c5e7654 +size 306744768 diff --git a/rwkv7-0.1B-g1-f16_q8_0.gguf b/rwkv7-0.1B-g1-f16_q8_0.gguf new file mode 100644 index 0000000..40fc12e --- /dev/null +++ b/rwkv7-0.1B-g1-f16_q8_0.gguf @@ -0,0 +1,3 @@ +version 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