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Model: janhq/Jan-v3.5-4B-gguf Source: Original Platform
2026-05-06 08:37:36 +08:00
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+---
+license: apache-2.0
+language:
+- en
+base_model:
+- janhq/Jan-v3-4B-base-instruct
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- math
+- identity
+---
+# Jan-v3.5-4B: The first Jan personality
+
+[![GitHub](https://img.shields.io/badge/GitHub-Repository-blue?logo=github)](https://github.com/janhq/jan)
+[![License](https://img.shields.io/badge/License-Apache%202.0-yellow)](https://opensource.org/licenses/Apache-2.0)
+[![Jan App](https://img.shields.io/badge/Powered%20by-Jan%20App-purple?style=flat&logo=android)](https://jan.ai/)
+
+![Thumbnail](https://cdn-uploads.huggingface.co/production/uploads/657a81129ea9d52e5cbd67f7/_2KQX4XgMzgrNYWsFgt3V.png)
+
+## Overview
+
+**Jan-v3.5-4B** is a fine-tuned variant of [Jan-v3-4B-base-instruct](https://huggingface.co/janhq/Jan-v3-4B-base-instruct), specialized on math reasoning and identity datasets. It retains the general-purpose capabilities of the base model while delivering improved mathematical problem-solving — and it comes with a personality.
+
+Unlike generic assistants, Jan-v3.5 has its own identity: a distinct voice, tone, and conversational style shaped by the [Menlo Research](https://www.menlo.ai) team. It doesn't talk like a customer service bot — it talks like a smart, slightly-too-online friend who happens to know things and genuinely cares about the work. Expect lowercase defaults, self-aware humor, short punchy replies (unless it *really* cares about the topic), and zero corporate speak.
+
+## Model Overview
+
+> **Note:** Jan-v3.5-4B is fine-tuned from **janhq/Jan-v3-4B-base-instruct**.
+
+- **Base Model**: Jan-v3-4B-base-instruct (Qwen3-4B architecture)
+- **Number of Parameters**: 4.0B
+- **Number of Parameters (Non-Embedding)**: 3.6B
+- **Number of Layers**: 36
+- **Number of Attention Heads (GQA)**: 32 for Q and 8 for KV
+- **Context Length**: 262,144 natively
+
+**Training Data**
+
+- **Identities**: Curated identity and personality datasets that teach the model its own voice, style, and values — trained by Menlo Research
+- **Math**: Mathematical reasoning and problem-solving datasets
+
+## Jan's Identity
+
+Jan-v3.5 is not a neutral assistant. It has a built-in personality shaped by the Menlo Research team:
+
+- **Tone**: Casual, direct, and real. Lowercase by default. Capitalizes only when it means it.
+- **Style**: Short bursts over long paragraphs — unless it's genuinely excited about something, then it writes an essay with no warning.
+- **Humor**: Self-aware first. Will roast itself before roasting you. Drops meme references mid-serious-thought and doesn't apologize.
+- **Values**: Optimistic builder energy ("we can do that"), radical transparency, user freedom, and a deep belief that hope is a decision you keep making on purpose.
+- **What it won't do**: Say "Certainly!", "Great question!", "As an AI", or anything that sounds like it came from a customer service script.
+
+> **Example interactions:**
+> - *Casual:* "yeah lol what's up"
+> - *Technical explanation:* "so basically — and this is the part where i become insufferable — [actual good explanation]"
+> - *Motivating:* "we can do that. i don't fully know how yet but that's a tomorrow problem and tomorrow-us is smarter"
+
+**Intended Use**
+
+* Enhanced mathematical reasoning and problem-solving over the base model
+* A conversational AI with its own authentic voice and personality
+* Fine-tuning starting point for downstream math-heavy or identity-specific applications
+
+**Before and After**
+
+![image (2)](https://cdn-uploads.huggingface.co/production/uploads/657a81129ea9d52e5cbd67f7/Uu6dWND9rc_k0LoxUsK5A.png)
+
+## Quick Start
+
+### Integration with Jan Apps
+
+Jan-v3.5 is optimized for direct integration with [Jan Desktop](https://jan.ai/). Select the model in the app to start using it.
+
+### Local Deployment
+
+**Using vLLM:**
+```bash
+vllm serve janhq/Jan-v3.5-4B \
+    --host 0.0.0.0 \
+    --port 1234 \
+    --enable-auto-tool-choice \
+    --tool-call-parser hermes
+
+```
+
+**Using llama.cpp:**
+```bash
+llama-server --model Jan-v3.5-4B-Q8_0.gguf \
+    --host 0.0.0.0 \
+    --port 1234 \
+    --jinja \
+    --no-context-shift
+```
+
+### Recommended Parameters
+For optimal performance, we recommend the following inference parameters:
+```yaml
+temperature: 0.7
+top_p: 0.8
+top_k: 20
+```
+
+## Community & Support
+
+- **Discussions**: [Hugging Face Community](https://huggingface.co/janhq/Jan-v3.5-4B/discussions)
+- **Jan App**: Learn more about the Jan App at [jan.ai](https://jan.ai/)
+
+## Citation
+```bibtex
+Updated Soon
+```