What are the hardware requirements for DeepSeek V2 Lite Aux Free Sft Math7k 1epoch 1e 4 Gamma?

DeepSeek V2 Lite Aux Free Sft Math7k 1epoch 1e 4 Gamma requires approximately 31.4 GB of VRAM and supports a context window of 160K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate DeepSeek V2 Lite Aux Free Sft Math7k 1epoch 1e 4 Gamma?

DeepSeek V2 Lite Aux Free Sft Math7k 1epoch 1e 4 Gamma is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DeepSeek V2 Lite Aux Free Sft Math7k 1epoch 1e 4 Gamma by HectorHe — VRAM 31.4GB, 160K context

Name: DeepSeek V2 Lite Aux Free Sft Math7k 1epoch 1e 4 Gamma
Author: HectorHe

DeepSeek V2 Lite Aux Free Sft Math7k 1epoch 1e 4 Gamma is an open-source language model by HectorHe. Features: 15.7b LLM, VRAM: 31.4GB, Context: 160K, LLM Explorer Score: 0.2.

Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a... Conversational Custom code Dataset:hectorhe/math7k Deepseek v2 Endpoints compatible Generated from trainer Open-r1 Region:us Safetensors Sft Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/HectorHe/DeepSeek-V2-Lite-aux-free-sft-math7k-1epoch-1e-4-gamma

DeepSeek V2 Lite Aux Free Sft Math7k 1epoch 1e 4 Gamma Parameters and Internals

LLM Name	DeepSeek V2 Lite Aux Free Sft Math7k 1epoch 1e 4 Gamma
Repository 🤗	https://huggingface.co/HectorHe/DeepSeek-V2-Lite-aux-free-sft-math7k-1epoch-1e-4-gamma
Model Name	DeepSeek-V2-Lite-aux-free-sft-math7k-1epoch-1e-4-gamma
Base Model(s)	DeepSeek V2 Lite deepseek-ai/DeepSeek-V2-Lite
Model Size	15.7b
Required VRAM	31.4 GB
Updated	2026-08-05
Maintainer	HectorHe
Model Type	deepseek_v2
Model Files	5.0 GB: 1-of-7 5.0 GB: 2-of-7 5.0 GB: 3-of-7 5.0 GB: 4-of-7 5.0 GB: 5-of-7 5.0 GB: 6-of-7 1.4 GB: 7-of-7 0.0 GB
Model Architecture	DeepseekV2ForCausalLM
Context Length	163840
Model Max Length	163840
Transformers Version	4.51.0
Tokenizer Class	LlamaTokenizerFast
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	102400
Torch Data Type	bfloat16

Rank the DeepSeek V2 Lite Aux Free Sft Math7k 1epoch 1e 4 Gamma capabilities

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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

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...eepSeek Coder V2 Lite Instruct	160K / 31.4 GB	542062	628
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KwaiCoder DS V2 Lite Base	160K / 31.4 GB	37	7
...2 Lite Instruct FlashAttnPatch	160K / 31.4 GB	24	0
ESFT Vanilla Lite	4K / 31.4 GB	148	20
...eek Coder V2 Lite Instruct AWQ	160K / 9.1 GB	7853	11
LunarAI	160K / 31.4 GB	24	0

Note: green Score (e.g. "73.2") means that the model is better than HectorHe/DeepSeek-V2-Lite-aux-free-sft-math7k-1epoch-1e-4-gamma.