---
title: "FitVerdict"
sidebar_label: "FitVerdict"
description: "The clika_runtime.modelverse FitVerdict class."
---

<!-- Generated by tools/api_reference/generate_api_docs.py. Do not edit. -->

Whether a model fits one device, judged from its metadata: every term of the law and the verdict.

## `activation_bytes` (property)

The working set priced beside the weights and the cache.

## `context_length` (property)

The model's own context length; 0 when its documents declare none.

## `device` (property)

The device's label.

## `device_bytes` (property)

The device's total memory.

## `fits` (property)

need_bytes <= device_bytes.

## `grade` (property)

How comfortably the need sits in the device's memory: 'Perfect' (at most 60% of it), 'Good' (at most 85%), 'Marginal' (at most 98%), 'Too tight' (above, or does not fit); empty when not judged.

## `judged` (property)

True once the source was priced on the device; False on a row whose source could not be read.

## `kv_bytes_fixed` (property)

Cache bytes a session holds whatever its length: sliding-window rings, conv slabs, per-row bookkeeping.

## `kv_bytes_per_token` (property)

Cache bytes per token of context.

## `kv_dtype` (property)

The cache dtype (bfloat16, float16, float32); empty when no cache is priced.

## `max_image_fits` (property)

An image generation pipeline: the side of the largest square image that fits; 0 otherwise.

## `max_seq` (property)

The sequence length judged.

## `max_seq_fits` (property)

The largest sequence length that fits, at most the context length.

## `memory_share_percent` (property)

need_bytes over device_bytes as a whole percent, rounded up.

## `need_bytes` (property)

weight_bytes + kv_bytes_fixed + kv_bytes_per_token * max_seq + activation_bytes.

## `parameters` (property)

The parameter count the speed estimate divides by: a GGUF header's tensor table, or the weight bytes over the declared dtype's width; 0 when unknown.

## `reason` (property)

What decided the verdict.

## `source` (property)

The model source as given.

## `tok_s_estimate` (property)

The estimated decode speed on a CPU in tokens per second; 0 when no estimate applies.

## `tok_s_measured` (property)

A measured decode speed for the device; 0 when none is known.

## `weight_bytes` (property)

The weight files a fetch takes.

## `weight_encoding` (property)

The weight encoding the speed estimate reads its factor from (a GGUF file type such as 'Q4_K_M', or a declared stream dtype such as 'bfloat16'); empty when unknown.

## `__init__`

```python
__init__(self, /, *args, **kwargs)
```

Initialize self.  See help(type(self)) for accurate signature.