# Fable Traces

URL: https://interfaze.ai/models/aliestahafable-traces

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Fable Traces by AliesTaha, a text-generation model. Understand and compare features, benchmarks, and capabilities.

## Comparison

| Feature | Fable Traces | Interfaze |
| --- | --- | --- |
| Input Modalities | text | image, text, audio, video, document |
| Native OCR | No | Yes |
| Long Document Processing | No | Yes |
| Language Support | unknown | 162+ |
| Native Speech-to-Text | No | Yes |
| Native Object Detection | No | Yes |
| Guardrail Controls | No | Yes |
| Context Input Size | 32.8K | 1M |
| Tool Calling | No | Tool calling supported + built in browser, code execution and web search |

### Scaling

| Feature | Fable Traces | Interfaze |
| --- | --- | --- |
| Scaling | Self-hosted/Provider-hosted with quantization | Unlimited |

[Try Interfaze](https://interfaze.ai/dashboard)[Read the Docs](https://interfaze.ai/docs)

View model card on [Hugging Face](https://huggingface.co/AliesTaha/fable-traces)

A compact instruction-tuned language model built on [Qwen/Qwen3-4B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507). `fable-traces` is tuned for short, conversational replies and runs comfortably on a single mid-range GPU.

## Usage

```
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

repo = "AliesTaha/fable-traces"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(repo, dtype=torch.bfloat16, device_map="auto")

messages = [{"role": "user", "content": "Tell me something interesting."}]
ids = tok.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device)
out = model.generate(ids, max_new_tokens=100, do_sample=False)
print(tok.decode(out[0, ids.shape[1]:], skip_special_tokens=True))
```

Serve with vLLM:

```
vllm serve AliesTaha/fable-traces
```

## Details

|  |  |
| --- | --- |
| Base model | Qwen3-4B-Instruct-2507 |
| Parameters | ~4B |
| Precision | bfloat16 (safetensors) |
| Prompt format | ChatML — use the tokenizer's chat template |
| Context length | inherits the base model |

## License

Apache 2.0, following the base model.

This is a joke. This is not an actual model. Please read the full post first

## Want more deterministic results?

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