What are the hardware requirements for Llama3.2 3B It Qwq Sft Tpt Iter1 R64?

Llama3.2 3B It Qwq Sft Tpt Iter1 R64 requires approximately 6.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama3.2 3B It Qwq Sft Tpt Iter1 R64 and how large is it?

Llama3.2 3B It Qwq Sft Tpt Iter1 R64 is developed by erdem-erdem, a model with 3b 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 Llama3.2 3B It Qwq Sft Tpt Iter1 R64?

Llama3.2 3B It Qwq Sft Tpt Iter1 R64 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama3.2 3B It Qwq Sft Tpt Iter1 R64 by erdem-erdem — VRAM 6.5GB, 128K context

Name: Llama3.2 3B It Qwq Sft Tpt Iter1 R64
Author: erdem-erdem

Llama3.2 3B It Qwq Sft Tpt Iter1 R64 is an open-source language model by erdem-erdem. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.18.

Base model:erdem-erdem/llama3.... Base model:finetune:erdem-erde... Conversational En Endpoints compatible Ext 8k Llama Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/erdem-erdem/llama3.2-3b-it-qwq-sft-tpt-iter1-r64

Llama3.2 3B It Qwq Sft Tpt Iter1 R64 Parameters and Internals

LLM Name	Llama3.2 3B It Qwq Sft Tpt Iter1 R64
Repository 🤗	https://huggingface.co/erdem-erdem/llama3.2-3b-it-qwq-sft-tpt-iter1-r64
Base Model(s)	erdem-erdem/llama3.2-3b-it-24-game-8k-qwq-r64 erdem-erdem/llama3.2-3b-it-24-game-8k-qwq-r64
Model Size	3b
Required VRAM	6.5 GB
Updated	2026-08-06
Maintainer	erdem-erdem
Model Type	llama
Model Files	5.0 GB: 1-of-2 1.5 GB: 2-of-2
Supported Languages	en
Context Length	8k
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.3
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama3.2 3B It Qwq Sft Tpt Iter1 R64 capabilities

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

Best Alternatives to Llama3.2 3B It Qwq Sft Tpt Iter1 R64

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Nanbeige4.1 3B	256K / 7.9 GB	20875	1161
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Nanbeige4.1 3B Bf16	256K / 7.9 GB	47	3
...anbeige4.1 3B Heretic Bfloat16	256K / 7.9 GB	33	1
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ISA 03 Mini 3B Hybrid Preview	256K / 6.5 GB	4	4
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Llama 3.2 3B Instruct	128K / 6.5 GB	1829572	2368

Note: green Score (e.g. "73.2") means that the model is better than erdem-erdem/llama3.2-3b-it-qwq-sft-tpt-iter1-r64.