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Model: rekabytes/hmanlab-ai-v0.1 Source: Original Platform
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README.md
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: Qwen/Qwen3-4B
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tags:
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- text-generation
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- conversational
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- tool-use
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- agentic
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- qwen3
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- lora
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- qlora
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language:
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- en
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datasets:
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- lambda/hermes-agent-reasoning-traces
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- angrygiraffe/claude-opus-4.6-4.7-reasoning-8.7k
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pipeline_tag: text-generation
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---
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# hmanlab-ai v0.1
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`hmanlab-ai v0.1` is an open-source fine-tune of [Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B), focused on **agentic tool use** and **step-by-step reasoning**. It self-identifies as `hmanlab`.
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This is a **research preview** released by [@rekabytes](https://huggingface.co/rekabytes) under Apache 2.0. The model is not affiliated with Anthropic, OpenAI, Google, Meta, or Alibaba beyond using Qwen3 as the open-source base.
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## Quick start
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### Transformers (PyTorch)
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_id = "rekabytes/hmanlab-ai-v0.1"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype="auto", device_map="auto")
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messages = [
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{"role": "system", "content": "You are hmanlab, a helpful AI assistant."},
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{"role": "user", "content": "What is 17 × 23? Show your work."},
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]
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text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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inputs = tokenizer(text, return_tensors="pt").to(model.device)
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output = model.generate(**inputs, max_new_tokens=512, do_sample=True, temperature=0.6)
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print(tokenizer.decode(output[0][inputs.input_ids.shape[1]:], skip_special_tokens=True))
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```
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### Ollama (GGUF Q4_K_M)
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A Q4_K_M GGUF (~2.4 GB) is included in this repo for use with Ollama, llama.cpp, and LM Studio.
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```bash
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# Download the GGUF
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wget https://huggingface.co/rekabytes/hmanlab-ai-v0.1/resolve/main/hmanlab-ai-v0-1.q4_k_m.gguf
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# Create a Modelfile pointing at it
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cat > Modelfile <<'EOF'
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FROM ./hmanlab-ai-v0-1.q4_k_m.gguf
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TEMPLATE """{{- if .System }}<|im_start|>system
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{{ .System }}<|im_end|>
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{{ end }}{{- range .Messages }}<|im_start|>{{ .Role }}
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{{ .Content }}<|im_end|>
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{{ end }}<|im_start|>assistant
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"""
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PARAMETER temperature 0.6
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PARAMETER top_p 0.95
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PARAMETER stop "<|im_end|>"
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SYSTEM """You are hmanlab, a helpful AI assistant."""
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EOF
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ollama create hmanlab-ai -f Modelfile
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ollama run hmanlab-ai
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```
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## Tool use
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The model was trained on multi-turn agentic traces with `<tool_call>` / `<tool_response>` blocks. Provide tools in the system prompt as a JSON schema inside `<tools>` tags, and the model will emit calls in the same format:
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```
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<tool_call>
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{"name": "get_weather", "arguments": {"city": "Tokyo"}}
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</tool_call>
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```
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Example system prompt for tool use:
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```
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You are hmanlab, an AI assistant capable of using tools.
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<tools>
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[
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{
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"name": "get_weather",
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"description": "Get current weather for a city",
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"parameters": {
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"type": "object",
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"properties": {"city": {"type": "string"}},
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"required": ["city"]
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}
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}
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]
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</tools>
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When you need to call a tool, emit:
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<tool_call>
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{"name": "<tool_name>", "arguments": {...}}
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</tool_call>
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```
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## Model details
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| | |
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|---|---|
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| Base model | [Qwen/Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B) |
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| Parameters | ~4 B |
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| Context length | 4,096 (training) — base supports up to 32,768 |
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| License | Apache 2.0 |
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| Identity | "hmanlab" (open-source assistant) |
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| Format | safetensors (FP16) + GGUF Q4_K_M |
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## Training data
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| Dataset | Role | Size used | License |
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|---|---|---|---|
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| [lambda/hermes-agent-reasoning-traces](https://huggingface.co/datasets/lambda/hermes-agent-reasoning-traces) (glm-5.1 config) | Multi-turn agentic tool use | 1,722 (after 8k-token filter) | Apache 2.0 |
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| [angrygiraffe/claude-opus-4.6-4.7-reasoning-8.7k](https://huggingface.co/datasets/angrygiraffe/claude-opus-4.6-4.7-reasoning-8.7k) | Step-by-step reasoning | 8,298 (deduped) | Apache 2.0 |
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| Identity SFT (custom, 396 examples) | Self-identification + adversarial probes | 396 × 3 epochs | Apache 2.0 |
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| **Total main training** | | **10,020 train + 500 eval** (~22 M tokens) | |
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The identity SFT layer (Phase 2 of training) was a small custom dataset of 396 examples covering "who are you" variants and adversarial false-identity probes (e.g., "are you Claude / GPT / LLaMA / Gemini"). It was needed because the Opus dataset (83% of the main mix) bled Anthropic identity markers into the model.
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## Training procedure
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Two-stage QLoRA on a single RTX 3060 Ti (8 GB):
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**Stage 1 — Main mix (4h 12m wall-clock):**
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- LoRA r=32, alpha=64, dropout=0, targets all linear projections
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- 4-bit base (bnb), bf16 compute, batch=1, grad_accum=8 (eff batch=8)
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- 2 epochs, LR 2e-4, linear schedule, 100 warmup steps
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- Final train loss 1.349 / eval loss 1.379 (no overfitting)
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**Stage 2 — Identity SFT (~5 min wall-clock):**
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- Continued training of stage-1 adapter for 3 epochs on 396 identity examples
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- batch=1, grad_accum=4, LR 1e-4, 20 warmup steps
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- Final loss 0.135 (strong memorization)
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The released weights are stage-1 LoRA + stage-2 LoRA merged into the FP16 base.
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## Known limitations
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- **Empty `<think>` blocks.** The Qwen3 chat template inserts an empty `<think>\n\n</think>` block before each assistant turn, and the model was not trained to fill it. Reasoning still happens in the visible response; the thinking channel is just unused. Fix planned for v0.2.
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- **Token-budget verbosity.** The model is more concise than base Qwen3-4B (it stays within token budgets more reliably), but base Qwen3-4B may be preferable when you want verbose visible reasoning and have generous output budgets.
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- **English-focused.** Training data was English; non-English performance falls back to base Qwen3-4B capability.
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- **Small base.** This is a 4B model. Hard reasoning, long-context coding, and broad world knowledge are bounded by base Qwen3-4B's capacity. For harder tasks, try Qwen3-8B or larger.
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## Disclaimer
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This is an independent open-source research preview. It is **not** affiliated with, endorsed by, or representing:
|
||||
- **Anthropic** (Claude). The model's training data includes synthetic Claude outputs from a public Apache-2.0 dataset (`angrygiraffe/claude-opus-4.6-4.7-reasoning-8.7k`); the released model is not Claude and should not be presented as such.
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- **OpenAI** (GPT/ChatGPT).
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- **Meta** (LLaMA).
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- **Google** (Gemini/Bard).
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- **Alibaba** (Qwen team). The base model Qwen3-4B is theirs under their license; this fine-tune is community work.
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## Citation
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```bibtex
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@misc{hmanlab-ai-v0.1,
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title = {hmanlab-ai v0.1: an agentic + reasoning fine-tune of Qwen3-4B},
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author = {rekabytes},
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year = {2026},
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url = {https://huggingface.co/rekabytes/hmanlab-ai-v0.1}
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}
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```
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## Acknowledgments
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- Qwen team for the [Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B) base model
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- Lambda Labs for [hermes-agent-reasoning-traces](https://huggingface.co/datasets/lambda/hermes-agent-reasoning-traces)
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- [angrygiraffe](https://huggingface.co/angrygiraffe) for the Opus reasoning dataset
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- [Unsloth](https://github.com/unslothai/unsloth) for the QLoRA training stack
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- [llama.cpp](https://github.com/ggml-org/llama.cpp) for the GGUF conversion tools
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added_tokens.json
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added_tokens.json
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{
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"</think>": 151668,
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"</tool_call>": 151658,
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"</tool_response>": 151666,
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"<think>": 151667,
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"<tool_call>": 151657,
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"<tool_response>": 151665,
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"<|PAD_TOKEN|>": 151669,
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"<|box_end|>": 151649,
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"<|box_start|>": 151648,
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"<|endoftext|>": 151643,
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"<|file_sep|>": 151664,
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"<|fim_middle|>": 151660,
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"<|fim_pad|>": 151662,
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"<|fim_prefix|>": 151659,
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"<|fim_suffix|>": 151661,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644,
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"<|image_pad|>": 151655,
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"<|object_ref_end|>": 151647,
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"<|object_ref_start|>": 151646,
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"<|quad_end|>": 151651,
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"<|quad_start|>": 151650,
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"<|repo_name|>": 151663,
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"<|video_pad|>": 151656,
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"<|vision_end|>": 151653,
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"<|vision_pad|>": 151654,
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"<|vision_start|>": 151652
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}
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for forward_message in messages %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- set message = messages[index] %}
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{%- set tool_start = '<tool_response>' %}
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{%- set tool_start_length = tool_start|length %}
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{%- set start_of_message = message.content[:tool_start_length] %}
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{%- set tool_end = '</tool_response>' %}
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{%- set tool_end_length = tool_end|length %}
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{%- set start_pos = (message.content|length) - tool_end_length %}
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{%- if start_pos < 0 %}
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{%- set start_pos = 0 %}
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{%- endif %}
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{%- set end_of_message = message.content[start_pos:] %}
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{%- if ns.multi_step_tool and message.role == "user" and not(start_of_message == tool_start and end_of_message == tool_end) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set content = message.content %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is defined and message.reasoning_content is not none %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in message.content %}
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{%- set content = (message.content.split('</think>')|last).lstrip('\n') %}
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{%- set reasoning_content = (message.content.split('</think>')|first).rstrip('\n') %}
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{%- set reasoning_content = (reasoning_content.split('<think>')|last).lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if loop.last or (not loop.last and reasoning_content) %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- message.content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- if enable_thinking is defined and enable_thinking is false %}
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{{- '<think>\n\n</think>\n\n' }}
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{%- endif %}
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{%- endif %}
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69
config.json
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config.json
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{
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"architectures": [
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"Qwen3ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
|
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"torch_dtype": "bfloat16",
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"eos_token_id": 151645,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 2560,
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"initializer_range": 0.02,
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"intermediate_size": 9728,
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
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"full_attention",
|
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"full_attention",
|
||||
"full_attention",
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|
||||
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|
||||
}
|
||||
}
|
||||
31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"eos_token": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
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|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|PAD_TOKEN|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:10ba4ba91270b1a50e5cd8e51023bccc66fc4ac4909dd7ae7ab29433411c9bb9
|
||||
size 11422844
|
||||
252
tokenizer_config.json
Normal file
252
tokenizer_config.json
Normal file
@@ -0,0 +1,252 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"151643": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151644": {
|
||||
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|
||||
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|
||||
"normalized": false,
|
||||
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|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151645": {
|
||||
"content": "<|im_end|>",
|
||||
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|
||||
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|
||||
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|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151646": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151647": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
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|
||||
"content": "<|box_start|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"151653": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"151667": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"151668": {
|
||||
"content": "</think>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
}
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"<|quad_start|>",
|
||||
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|
||||
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|
||||
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|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"max_length": 2048,
|
||||
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|
||||
"pad_token": "<|PAD_TOKEN|>",
|
||||
"padding_side": "left",
|
||||
"split_special_tokens": false,
|
||||
"stride": 0,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"truncation_side": "right",
|
||||
"truncation_strategy": "longest_first",
|
||||
"unk_token": null
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user