---
library_name: transformers
license: apache-2.0
base_model:
- Qwen/Qwen3.5-0.8B
pipeline_tag: text-generation
language:
- zh
- en
tags:
- qwen3_5
- sft
- openviking
- intent-analysis
- query-planning
---

# OpenViking Intent Analysis SFT v7

`ov_intent_analysis_sft` is a Qwen3.5-0.8B model fine-tuned for OpenViking
retrieval intent analysis and query planning. Given recent conversation context and
the current user message, it decides whether retrieval is needed and emits structured
queries targeting OpenViking `skill`, `resource`, and `memory` scopes.

This repository contains the original Transformers checkpoint in Safetensors format.
The corresponding quantized Ollama release is
[`guoxuter/ov_intent_analysis_sft:v7_q8`](https://ollama.com/guoxuter/ov_intent_analysis_sft:v7_q8).

## Loading

Use a recent Transformers version with Qwen3.5 support:

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "guoxuter/ov_intent_analysis_sft"

tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    dtype="auto",
    device_map="auto",
    trust_remote_code=True,
)
```

The model was trained for the OpenViking v7 retrieval prompt and structured output
contract. For end-to-end use, prefer the prompt bundled with OpenViking rather than a
generic chat prompt.

## Artifact provenance

- Base model: [`Qwen/Qwen3.5-0.8B`](https://huggingface.co/Qwen/Qwen3.5-0.8B)
- Training checkpoint: step 600 of the v7 SFT run
- Safetensors SHA-256:
  `c92c878a96f34d2f0c87d2308099de7dc1401aae58aba0310aca550e9024b33b`
- Corresponding Ollama Q8 GGUF layer SHA-256:
  `aa98adccdec6a3be82d462563586abe1db520f93281ecc3f9bc3ff978b12d795`

The Safetensors checkpoint is the source artifact. The Ollama model is a Q8 GGUF
derivative and should not be used to reconstruct full-precision weights.

## Intended use

This model is intended as a compact retrieval planner for OpenViking-compatible
systems. It is not a general-purpose assistant. Outputs should be validated against
the expected structured schema before they are executed or used for retrieval.

## License

The base Qwen3.5-0.8B model is released under the Apache License 2.0. This fine-tuned
checkpoint is published under the same license.