What are the hardware requirements for GLM 4 7 Swesmith Sandboxes With Tests Oracle Verified 120s Maxeps 131K Fixthink?

GLM 4 7 Swesmith Sandboxes With Tests Oracle Verified 120s Maxeps 131K Fixthink requires approximately 16.4 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

GLM 4 7 Swesmith Sandboxes With Tests Oracle Verified 120s Maxeps 131K Fixthink by laion — VRAM 16.4GB, 40K context

Name: GLM 4 7 Swesmith Sandboxes With Tests Oracle Verified 120s Maxeps 131K Fixthink
Author: laion

GLM 4 7 Swesmith Sandboxes With Tests Oracle Verified 120s Maxeps 131K Fixthink is an open-source language model by laion. Features: 8b LLM, VRAM: 16.4GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.22.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-8b Conversational Endpoints compatible Full Generated from trainer Llama-factory Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/laion/GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink

GLM 4 7 Swesmith Sandboxes With Tests Oracle Verified 120s Maxeps 131K Fixthink Parameters and Internals

LLM Name	GLM 4 7 Swesmith Sandboxes With Tests Oracle Verified 120s Maxeps 131K Fixthink
Repository 🤗	https://huggingface.co/laion/GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink
Base Model(s)	Qwen3 8B Qwen/Qwen3-8B
Model Size	8b
Required VRAM	16.4 GB
Updated	2026-07-17
Maintainer	laion
Model Type	qwen3
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 1.6 GB: 4-of-4 0.0 GB
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.57.6
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

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Note: green Score (e.g. "73.2") means that the model is better than laion/GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink.