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Jackrong/Qwopus3.5-4B-Coder.Glint-Research/Fable-5-traces, a dataset of Claude Fable 5 local coding-agent traces. The dataset is heavily oriented around tool-use trajectories, repository work, local command context, code editing, debugging loops, and <think>-style reasoning completions.| Area | Description |
|---|---|
| Tool-use workflows | Bash, Read, Write, Edit, repo inspection, and action traces. |
| Debugging | Failing tests, stack traces, root-cause analysis, and patch planning. |
| Trace-style reasoning | Long-form planning and <think> style reasoning traces. |
| Local agents | Hermes-style, Claude-Code-style, OpenCode-style, and LM Studio workflows. |
Glint-Research/Fable-5-traces contains Claude Fable 5 coding traces.1uid
2source_file
3session
4model
5context
6cot
7output_type
8output
9completion
10origin<think>...</think> reasoning tracestool_use style data, which makes it especially relevant for local coding agents and developer automation.1Bash
2Read
3Write
4Edit
5Search
6Grep1import torch
2from transformers import AutoProcessor, AutoModelForMultimodalLM
3
4model_id = "shuhulx/Qwopus3.5-4B-Coder-Fable5-v1"
5
6processor = AutoProcessor.from_pretrained(
7 model_id,
8 trust_remote_code=True,
9)
10
11model = AutoModelForMultimodalLM.from_pretrained(
12 model_id,
13 torch_dtype=torch.bfloat16,
14 device_map="auto",
15 trust_remote_code=True,
16)
17
18messages = [
19 {
20 "role": "user",
21 "content": [
22 {
23 "type": "text",
24 "text": "Inspect this repo and write a Bash/Read/Edit style plan for debugging failing tests."
25 }
26 ],
27 }
28]
29
30inputs = processor.apply_chat_template(
31 messages,
32 add_generation_prompt=True,
33 tokenize=True,
34 return_dict=True,
35 return_tensors="pt",
36).to(model.device)
37
38outputs = model.generate(
39 **inputs,
40 max_new_tokens=768,
41 do_sample=True,
42 temperature=0.7,
43 top_p=0.95,
44)
45
46print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:], skip_special_tokens=True))| Release | Repo | Best for |
|---|---|---|
| Transformers / Safetensors | shuhulx/Qwopus3.5-4B-Coder-Fable5-v1 | Python, Transformers, custom inference. |
| GGUF | shuhulx/Qwopus3.5-4B-Coder-Fable5-v1-GGUF | llama.cpp, LM Studio, local CPU/GPU inference. |
| MLX | shuhulx/Qwopus3.5-4B-Coder-Fable5-v1-MLX | Apple Silicon full MLX inference. |
| MLX 4-bit | shuhulx/Qwopus3.5-4B-Coder-Fable5-v1-MLX-4bit | Apple Silicon low-memory inference. |
Jackrong/Qwopus3.5-4B-Coder by JackrongGlint-Research/Fable-5-traces by Glint-Research