What are the hardware requirements for Claude Toolcall Slm 2B Safetensors Mlx 4Bit?

Claude Toolcall Slm 2B Safetensors Mlx 4Bit requires approximately 1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Claude Toolcall Slm 2B Safetensors Mlx 4Bit and how large is it?

Claude Toolcall Slm 2B Safetensors Mlx 4Bit is developed by mondk, a model with 2b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Claude Toolcall Slm 2B Safetensors Mlx 4Bit?

Claude Toolcall Slm 2B Safetensors Mlx 4Bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Claude Toolcall Slm 2B Safetensors Mlx 4Bit by mondk — VRAM 1GB, 8K context

Name: Claude Toolcall Slm 2B Safetensors Mlx 4Bit
Author: mondk

Claude Toolcall Slm 2B Safetensors Mlx 4Bit is an open-source language model by mondk. Features: 2b LLM, VRAM: 1GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.27.

4-bit 4bit Base model:mondk/claude-toolca... Base model:quantized:mondk/cla... Claude Conversational Dataset:bigcode/the-stack Dataset:huggingfacetb/smollm-c... Dataset:huggingfacetb/smoltalk Dataset:mondk/claude-code-fabl... Dataset:openbmb/ultrafeedback En Llama Mlx Mlx-my-repo Quantized Region:us Safetensors Tiny

Model Card on HF 🤗: https://huggingface.co/mondk/claude-toolcall-slm-2B-safetensors-mlx-4Bit

Claude Toolcall Slm 2B Safetensors Mlx 4Bit Parameters and Internals

LLM Name	Claude Toolcall Slm 2B Safetensors Mlx 4Bit
Repository 🤗	https://huggingface.co/mondk/claude-toolcall-slm-2B-safetensors-mlx-4Bit
Base Model(s)	...de Toolcall Slm 2B Safetensors mondk/claude-toolcall-slm-2B-safetensors
Model Size	2b
Required VRAM	1 GB
Updated	2026-08-24
Maintainer	mondk
Model Type	llama
Model Files	1.0 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	49153
Torch Data Type	float16
Errors	replace

Rank the Claude Toolcall Slm 2B Safetensors Mlx 4Bit capabilities

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Text Generation
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MiniCPM5 2B Chat Mlx 4bit	128K / 1.4 GB	232	2
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MiniCPM5 2B OptiQ 4bit	128K / 1.9 GB	317	3
MiniCPM5 2B Mlx 4Bit	128K / 1.4 GB	286	1
MiniCPM5 2B MLX 8bit	128K / 2.7 GB	193	3
MiniCPM5 2B MLX 6bit	128K / 2 GB	192	1
MiniCPM5 2B MLX 4bit	128K / 1.4 GB	116	2
MiniCPM5 2B Base	512K / 5 GB	54	17
MiniCPM5 2B	128K / 5 GB	2879	623
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Note: green Score (e.g. "73.2") means that the model is better than mondk/claude-toolcall-slm-2B-safetensors-mlx-4Bit.