---
license: other
license_name: qwen
license_link: https://huggingface.co/Qwen
base_model:
  - Qwen/Qwen3.5
tags:
  - agent
  - tool-calling
  - function-calling
  - gguf
  - ollama
  - long-context
pipeline_tag: text-generation
library_name: transformers
---

# Engrym Seed Flash 4B

Part of **Engrym Seed** — Orvyth's seed-tier local model family for **tool-using agents**. Qwen3.5
hybrid linear-attention architecture, **262,144-token native context**, first-class tool calling.

The best agent build — fastest to act, and the value pick of the ladder.

**Weights are distributed via the Ollama registry.**

```bash
ollama run Orvyth/engrym-seed:flash
```

| | |
|---|---|
| Size | 4.6 GB |
| 77-task score | **124/143** (86.7%) |
| Tool calling | **12/12** verified |
| Context | 262,144 native (default `num_ctx` 32,768) |
| Quantization | Q8_0 |

## The full ladder

| Tag | Class | Size | 77-task |
|---|---|---:|---:|
| `:nano` | Nano 2B | 2.1 GB | 90.8/143 |
| `:flash` | Flash 4B | 4.6 GB | 124/143 |
| `:base` | Base 9B | 9.5 GB | 131/143 |
| `:pro-27b-q4` | Pro 27B v2 Q4 | 16.5 GB | 134/143 |
| `:pro` | Pro 27B v2 Q8 | 28.6 GB | 137/143 |
| `:pro-e` | Pro-E 27B *(experimental)* | 28.6 GB | 137/143 |

## Evaluation

77 tasks · 143 points · `temperature=0` · `max_tokens=16384` · `seed=42` · one attempt ·
deterministic validators · **no LLM judge**. Scores are bound to the exact published blobs.

**First-party** numbers. Repeated runs on an uncontended GPU are deterministic (zero spread across
n=2 for every model measured). Public reproduction receipts are pending.

## Compute modes — the score is a floor

Asking the model to work *deliberately* recovers points on tasks it otherwise fails, and the gain is
largest for the smallest models (Nano +11.8, Flash +6, Base +3, Pro-E +0). On the small end that is
worth more than a model upgrade.

## Defaults

`temperature 0.2` · `top_p 0.9` · `top_k 20` · `num_ctx 32768` · `num_predict 8192`

If a prompt exceeds `num_ctx`, Ollama returns HTTP 400 — it does not silently truncate.

## Lineage

`Qwen/Qwen3.5` base → Ornith-1.0-9B x Qwythos-9B TIES merge (9B line) → Orvyth identity and
chip-calling LoRA merged into the weights → converted and quantized in-house.

## Limits

- First-party scores; treat small gaps between adjacent models as unresolved.
- The identity tune is light; a heavy external system prompt can pull behavior toward the base model.
- The 27B is much slower per tool call than the 9B and smaller.
- No MTP speculative-decoding head in these builds.
- Tags are mutable — pin the digest for production and evaluations.

---

**ORVYTH** - Intelligence. Governed. *Ground truth over hype. Prove before you claim.*