commit 53e1034ebeb8ca304806849297e27274678d5c1f Author: ModelHub XC Date: Fri Jul 10 11:23:07 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: ai21labs/AI21-Jamba-Reasoning-3B-GGUF Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..20a92bc --- /dev/null +++ b/.gitattributes @@ -0,0 +1,50 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bin.* filter=lfs diff=lfs merge=lfs -text +*.bz2 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 +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack 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 +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +saved_model/**/* 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 +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zstandard filter=lfs diff=lfs merge=lfs -text +*.tfevents* filter=lfs diff=lfs merge=lfs -text +*.db* filter=lfs diff=lfs merge=lfs -text +*.ark* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text + +*.ggml filter=lfs diff=lfs merge=lfs -text +*.llamafile* filter=lfs diff=lfs merge=lfs -text +*.pt2 filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text + +jamba-reasoning-3b-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text +jamba-reasoning-3b-F16.gguf filter=lfs diff=lfs merge=lfs -text \ No newline at end of file diff --git a/LICENSE.txt b/LICENSE.txt new file mode 100644 index 0000000..bed0f21 --- /dev/null +++ b/LICENSE.txt @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright (c) 2025 AI21 Labs + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..1557421 --- /dev/null +++ b/README.md @@ -0,0 +1,170 @@ +--- +license: apache-2.0 +license_name: jamba-open-model-license +license_link: https://www.ai21.com/jamba-open-model-license/ +pipeline_tag: text-generation +library_name: transformers +--- +## Introduction + +AI21’s Jamba Reasoning 3B is a top-performing reasoning model that packs leading scores on intelligence benchmarks and highly-efficient processing into a compact 3B build. +
Read the full blog post [here](https://www.ai21.com/blog/introducing-jamba-reasoning-3B). + +### Key Advantages + +**Fast: Optimized for efficient sequence processing** + +The hybrid design combines Transformer attention with Mamba (a state-space model). Mamba layers are more efficient for sequence processing, while attention layers capture complex dependencies. This mix reduces memory overhead, improves throughput, and makes the model run smoothly on laptops, GPUs, and even mobile devices, while maintainig impressive quality. + + + + +**Smart: Leading intelligence scores** + +The model outperforms competitors, such as Gemma 3 4B, Llama 3.2 3B, and Granite 4.0 Micro, on a combined intelligence score that averages 6 standard benchmarks. + + + + +**Scalable: Handles very long contexts** + +Unlike most compact models, Jamba Reasoning 3B supports extremely long contexts. Mamba layers allow the model to process inputs without storing massive attention caches, so it scales to **256K tokens** while keeping inference practical. This makes it suitable for edge deployment as well as datacenter workloads. + + + + + +## Model Details + +- Number of Parameters: 3B +- Number of Layers: 28 (26 Mamba, 2 Attention) +- Number of Attention Heads: 20 MQA (20 for Q, 1 for KV) +- Vocabulary Size: 64K +- Context Length: **256k** +- Architecture: Hybrid Transformer–Mamba with efficient attention and long-context support +- **Developed by:** [**AI21**](https://www.ai21.com/) +- **Supported languages:** English, Spanish, French, Portuguese, Italian, Dutch, German, Arabic and Hebrew +- Intelligence benchmark results: + +| | **MMLU-Pro** | **Humanity’s Last Exam** | **IFBench** | +| --- | --- | --- | --- | +| DeepSeek R1 Distill Qwen 1.5B | 27.0% | 3.3% | 13.0% | +| Phi-4 mini | 47.0% | 4.2% | 21.0% | +| Granite 4.0 Micro | 44.7% | 5.1% | 24.8% | +| Llama 3.2 3B | 35.0% | 5.2% | 26.0% | +| Gemma 3 4B | 42.0% | 5.2% | 28.0% | +| Qwen 3 1.7B | 57.0% | 4.8% | 27.0% | +| Qwen 3 4B | 70% | 5.1% | 33% | +| **Jamba Reasoning 3B** | **61.0%** | **6.0%** | **52.0%** | + +## Quickstart + +You can run Jamba Reasoning 3B on your own machine using popular lightweight runtimes. This makes it possible to experiment with long-context reasoning without relying on cloud infrastructure. + +- **Supported runtimes**: [llama.cpp](https://github.com/ggml-org/llama.cpp), [LM Studio](https://lmstudio.ai/), and [Ollama](https://ollama.com/). +- **Quantizations**: Multiple quantization levels are provided to shrink the model size. + - Full precision FP16 GGUF - **6.4** GB + - 4 bit quantization using Q4-K-M GGUF - **1.93** GB + +### Run the model with llama.cpp + +#### llama.cpp Python SDK +```bash +pip install llama-cpp-python +pip install huggingface_hub +``` +```python +from llama_cpp import Llama +from huggingface_hub import hf_hub_download + +# Download from HF +model_path = hf_hub_download( + repo_id="ai21labs/AI21-Jamba-Reasoning-3B-GGUF", + filename="jamba-reasoning-3b-Q4_K_M.gguf", + token="" +) + +llm = Llama( + model_path=model_path, + n_ctx=128000, + n_threads=10, # CPU threads + n_gpu_layers=-1, # -1 = all layers on GPU (Metal/CUDA if available) + flash_attn=True, +) + +prompt = """ +You are analyzing a stream of customer support tickets to decide which ones require escalation. + +Ticket 1: "The new update caused our app to crash whenever users upload a file larger than 50MB." +Ticket 2: "I can't log in because I forgot my password." +Ticket 3: "The billing page is missing the new enterprise pricing option." + +Classify each ticket as 'Critical', 'Medium', or 'Low' priority and explain your reasoning.""" +res = llm( + prompt, + max_tokens=8192, + temperature=0.6, +) + +print(f"\n\nResponse: {res['choices'][0]['text']}\n\n") +``` + +#### llama.cpp server +```bash +git clone https://github.com/ggml-org/llama.cpp +cd llama.cpp +cmake -B build +cmake --build build --config Release +``` +Start llama.cpp server with Jamba-Reasoning-3B gguf: +```bash +./build/bin/llama-server --jinja \ +--hf-repo ai21labs/AI21-Jamba-Reasoning-3B-GGUF \ +--hf-file jamba-reasoning-3b-Q4_K_M.gguf \ +-ngl -1 \ +--host 127.0.0.1 \ +--port 8000 +``` +Quick sanity test using curl: +```bash +curl --location 'http://127.0.0.1:8000/v1/chat/completions' \ +--header 'Content-Type: application/json' \ +--data '{ + "model": "jamba-reasoning-3b", + "messages": [ + { + "role": "user", + "content": "You are analyzing customer support tickets to decide which need escalation.\nTicket 1: '\''App crashes when uploading files >50MB.'\''\nTicket 2: '\''Forgot password, can’t log in.'\''\nTicket 3: '\''Billing page missing enterprise pricing.'\''\nClassify each ticket as Critical, Medium, or Low and explain your reasoning.\n" + } + ], + "max_tokens": 8192, + "temperature": 0.6 +}' +``` +### Run the model with vLLM + +> [!NOTE] +> Please reference the base model's model card [here](https://huggingface.co/ai21labs/AI21-Jamba-Reasoning-3B/blob/main/README.md#run-the-model-with-vllm). + + +## Training Details + +We trained the model in multiple stages, each designed to strengthen reasoning and long-context performance. The process began with large-scale pre-training on a diverse corpus of natural documents. We then mid-trained on ~0.5T tokens of math and code, while extending the context length to 32K tokens. During this stage we also applied a [Mamba-specific long-context method](https://arxiv.org/abs/2507.02782), which we found to significantly improve long-context abilities. + +To improve reasoning, tool use, and instruction following, we applied cold-start distillation: supervised fine-tuning with a 32K window and direct preference optimization with a 64K window. Finally, we enhanced reasoning performance further through online reinforcement learning with RLVR, targeting tasks such as code generation, mathematical problem solving, structured output, and information extraction. + +## Reinforcement “Fine-Tuning” + +Full support for training Jamba through VeRL will be available soon. AI21 has introduced several improvements to the VeRL framework (https://github.com/volcengine/verl), including new capabilities for training hybrid models, and stability improvements for GRPO training. These improvements will soon be available to the open source community. + +--- + +## License + +- `Apache 2.0` + +--- + +## Citation + +- Blog post- Read the full blog post [here](https://www.ai21.com/blog/introducing-jamba-reasoning-3B). \ No newline at end of file diff --git a/assets/Benchmark Performance - Jamba Reasoning 3B.png b/assets/Benchmark Performance - Jamba Reasoning 3B.png new file mode 100644 index 0000000..e4e7192 Binary files /dev/null and b/assets/Benchmark Performance - Jamba Reasoning 3B.png differ diff --git a/assets/Intelligence vs Speed Jamba Reasoning 3B.png b/assets/Intelligence vs Speed Jamba Reasoning 3B.png new file mode 100644 index 0000000..c9a90ee Binary files /dev/null and b/assets/Intelligence vs Speed Jamba Reasoning 3B.png differ diff --git a/assets/Jamba Reasoning 3B Quality Benchmarks.png b/assets/Jamba Reasoning 3B Quality Benchmarks.png new file mode 100644 index 0000000..e4e7192 Binary files /dev/null and b/assets/Jamba Reasoning 3B Quality Benchmarks.png differ diff --git a/assets/Speed vs Context Length.png b/assets/Speed vs Context Length.png new file mode 100644 index 0000000..ccf868e Binary files /dev/null and b/assets/Speed vs Context Length.png differ diff --git a/configuration.json b/configuration.json new file mode 100644 index 0000000..bbeeda1 --- /dev/null +++ b/configuration.json @@ -0,0 +1 @@ +{"framework": "pytorch", "task": "text-generation", "allow_remote": true} \ No newline at end of file diff --git a/jamba-reasoning-3b-F16.gguf b/jamba-reasoning-3b-F16.gguf new file mode 100644 index 0000000..01255d6 --- /dev/null +++ b/jamba-reasoning-3b-F16.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c01db90a9f68c9e0c38848f669c27777adfeae324be1c44236a46a76ac25c7a7 +size 6402230208 diff --git a/jamba-reasoning-3b-Q4_K_M.gguf b/jamba-reasoning-3b-Q4_K_M.gguf new file mode 100644 index 0000000..cea057e --- /dev/null +++ b/jamba-reasoning-3b-Q4_K_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5c8edf36ec3ad9792a639db8d6865e479038226cf8fc71ef47331c611854f6c8 +size 1932698048