What are the hardware requirements for MCQATEST FFT SciQ E Crazy LoRA Checkpoint 15000 B4 2E 512T LR1e 05 ACC4?

MCQATEST FFT SciQ E Crazy LoRA Checkpoint 15000 B4 2E 512T LR1e 05 ACC4 requires approximately 2.4 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate MCQATEST FFT SciQ E Crazy LoRA Checkpoint 15000 B4 2E 512T LR1e 05 ACC4?

MCQATEST FFT SciQ E Crazy LoRA Checkpoint 15000 B4 2E 512T LR1e 05 ACC4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MCQATEST FFT SciQ E Crazy LoRA Checkpoint 15000 B4 2E 512T LR1e 05 ACC4 by CHOOSEIT — VRAM 2.4GB, 32K context

Name: MCQATEST FFT SciQ E Crazy LoRA Checkpoint 15000 B4 2E 512T LR1e 05 ACC4
Author: CHOOSEIT

MCQATEST FFT SciQ E Crazy LoRA Checkpoint 15000 B4 2E 512T LR1e 05 ACC4 is an open-source language model by CHOOSEIT. Features: 596m LLM, VRAM: 2.4GB, Context: 32K, LLM Explorer Score: 0.18.

Arxiv:1910.09700 Conversational Endpoints compatible Lora Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/CHOOSEIT/MCQATEST_FFT_SciQ-E_Crazy_LoRA__checkpoint_15000__B4_2E_512T_LR1e-05_ACC4

MCQATEST FFT SciQ E Crazy LoRA Checkpoint 15000 B4 2E 512T LR1e 05 ACC4 Parameters and Internals

LLM Name	MCQATEST FFT SciQ E Crazy LoRA Checkpoint 15000 B4 2E 512T LR1e 05 ACC4
Repository 🤗	https://huggingface.co/CHOOSEIT/MCQATEST_FFT_SciQ-E_Crazy_LoRA__checkpoint_15000__B4_2E_512T_LR1e-05_ACC4
Model Size	596m
Required VRAM	2.4 GB
Updated	2026-08-12
Maintainer	CHOOSEIT
Model Type	qwen3
Model Files	2.4 GB
Model Architecture	Qwen3ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
LoRA Model	Yes
Torch Data Type	float32
Errors	replace

Rank the MCQATEST FFT SciQ E Crazy LoRA Checkpoint 15000 B4 2E 512T LR1e 05 ACC4 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to MCQATEST FFT SciQ E Crazy LoRA Checkpoint 15000 B4 2E 512T LR1e 05 ACC4

Best Alternatives	Context / RAM	Downloads	Likes
Test6	40K / 1.2 GB	15	0
... Calling Qwen0.6B 27jul Merged	40K / 1.2 GB	670	0
...Qwen0.6B 27jul Merged Llamacpp	40K / 1.2 GB	5	0
Sam Reason A1	40K / 2.4 GB	20	1
Qwen3 0p6mimo S3 Bf161200	32K / 1.2 GB	117	0
Qwen3 Grpo2 96	32K / 1.2 GB	5	0
Qwen3 0p6 Bf16 600	32K / 1.2 GB	6	0
Rubi No Reason Phase 2	32K / 1.2 GB	11	0
Rubi No Reason Phase 1	32K / 1.2 GB	10	0
MNLP M3 Rag Model	32K / 2.4 GB	10	0

Note: green Score (e.g. "73.2") means that the model is better than CHOOSEIT/MCQATEST_FFT_SciQ-E_Crazy_LoRA__checkpoint_15000__B4_2E_512T_LR1e-05_ACC4.