> ## Documentation Index
> Fetch the complete documentation index at: https://mintlify.com/AlexsJones/llmfit/llms.txt
> Use this file to discover all available pages before exploring further.

# list

> List all available LLM models

## Synopsis

```bash theme={null}
llmfit list
```

## Description

Displays all LLM models in the llmfit database without filtering by system compatibility. This shows the complete catalog of models that llmfit knows about.

The list includes models from various providers (Meta, Anthropic, OpenAI, Google, Alibaba, etc.) with their parameter counts, quantizations, and context windows.

## Options

This command has no options.

## Usage Examples

### List All Models

```bash theme={null}
# Display complete model catalog
llmfit list
```

### Count Models

```bash theme={null}
# Count total models in database
llmfit list | grep -c "│"
```

### Filter by Provider

```bash theme={null}
# Find all Meta models
llmfit list | grep Meta

# Find all Anthropic models
llmfit list | grep Anthropic
```

## Example Output

```
=== Available LLM Models ===
Total models: 159

╭─────────┬──────────────────────────┬───────────┬──────┬────────┬──────────────┬──────────┬────────────┬─────────┬────────┬─────────╮
│ Status  │ Model                    │ Provider  │ Size │ Score  │ tok/s est.   │ Quant    │ Runtime    │ Mode    │ Mem %  │ Context │
├─────────┼──────────────────────────┼───────────┼──────┼────────┼──────────────┼──────────┼────────────┼─────────┼────────┼─────────┤
│ --      │ llama-3.3-70b           │ Meta      │ 70B  │ -      │ -            │ 4bit     │ -          │ -       │ -      │ 128k    │
│ --      │ llama-3.1-405b          │ Meta      │ 405B │ -      │ -            │ Q4_K_M   │ -          │ -       │ -      │ 128k    │
│ --      │ qwen-2.5-72b            │ Alibaba   │ 72B  │ -      │ -            │ 4bit     │ -          │ -       │ -      │ 32k     │
│ --      │ deepseek-v3             │ DeepSeek  │ 671B │ -      │ -            │ Q4_K_M   │ -          │ -       │ -      │ 128k    │
│ --      │ claude-3.5-sonnet       │ Anthropic │ -    │ -      │ -            │ -        │ -          │ -       │ -      │ 200k    │
│ --      │ gpt-4o                  │ OpenAI    │ -    │ -      │ -            │ -        │ -          │ -       │ -      │ 128k    │
│ --      │ gemini-2.0-flash        │ Google    │ -    │ -      │ -            │ -        │ -          │ -       │ -      │ 1000k   │
│ --      │ mistral-large-2         │ Mistral   │ 123B │ -      │ -            │ Q4_K_M   │ -          │ -       │ -      │ 128k    │
│ --      │ phi-4                   │ Microsoft │ 14B  │ -      │ -            │ Q4_K_M   │ -          │ -       │ -      │ 16k     │
│ --      │ codestral-25.01         │ Mistral   │ 22B  │ -      │ -            │ Q4_K_M   │ -          │ -       │ -      │ 256k    │
╰─────────┴──────────────────────────┴───────────┴──────┴────────┴──────────────┴──────────┴────────────┴─────────┴────────┴─────────╯
```

## Model Database

The model database is:

* **Embedded**: Compiled into the binary from `data/hf_models.json`
* **No network**: All data is local, no API calls required
* **Updated**: Regenerate via `python3 scripts/scrape_hf_models.py`

### Model Fields

* **Name**: Model identifier
* **Provider**: Company/organization (Meta, Anthropic, etc.)
* **Size**: Parameter count (e.g., 7B, 70B, 405B)
* **Quant**: Quantization format (4bit, Q4\_K\_M, Q8\_0, etc.)
* **Context**: Context window in tokens (k = thousands)

### Model Types

* **Local models**: Have parameter counts and can run locally (llama.cpp, MLX)
* **API-only models**: Claude, GPT-4, Gemini (no local inference)
* **Quantized**: GGUF models for llama.cpp
* **MLX models**: 4bit quantized for Apple Silicon

## Comparison with Other Commands

| Command     | Purpose                 | Filtering                |
| ----------- | ----------------------- | ------------------------ |
| `list`      | Show all models         | None                     |
| `fit`       | Show compatible models  | By system specs          |
| `search`    | Find specific models    | By search query          |
| `recommend` | Get top recommendations | By fit quality + filters |

## Related Commands

* [search](/api/commands/search) - Search for specific models
* [fit](/api/commands/fit) - Find compatible models
* [info](/api/commands/info) - Get detailed model information
* [recommend](/api/commands/recommend) - Get top recommendations