What are the hardware requirements for Llama 2 70B Orca 200K?

Llama 2 70B Orca 200K requires approximately 138 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 2 70B Orca 200K and how large is it?

Llama 2 70B Orca 200K is developed by ddobokki, a model with 70b 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 Llama 2 70B Orca 200K?

Llama 2 70B Orca 200K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 2 70B Orca 200K by ddobokki — VRAM 138GB, 4K context

Name: Llama 2 70B Orca 200K
Author: ddobokki

Llama 2 70B Orca 200K is an open-source language model by ddobokki. Features: 70b LLM, VRAM: 138GB, Context: 4K, Instruction-Based, LLM Explorer Score: 0.08.

Doi:10.57967/hf/1687 En Endpoints compatible Instruct Instruction Llama Llama2 Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/ddobokki/Llama-2-70b-orca-200k

Llama 2 70B Orca 200K Parameters and Internals

Model Type

instruction, text-generation

Training Details

Data Sources:

OpenOrca

Data Volume:

200k sampling

Input Output

Input Format:

### Human: {Human} ### Assistant: {Assistant}

LLM Name	Llama 2 70B Orca 200K
Repository 🤗	https://huggingface.co/ddobokki/Llama-2-70b-orca-200k
Model Size	70b
Required VRAM	138 GB
Updated	2026-08-04
Maintainer	ddobokki
Model Type	llama
Instruction-Based	Yes
Model Files	9.8 GB: 1-of-15 9.8 GB: 2-of-15 10.0 GB: 3-of-15 9.8 GB: 4-of-15 9.8 GB: 5-of-15 9.8 GB: 6-of-15 10.0 GB: 7-of-15 9.8 GB: 8-of-15 9.8 GB: 9-of-15 9.8 GB: 10-of-15 10.0 GB: 11-of-15 9.8 GB: 12-of-15 9.8 GB: 13-of-15 9.5 GB: 14-of-15 0.5 GB: 15-of-15
Supported Languages	en
Model Architecture	LlamaForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.31.0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Llama 2 70B Orca 200K 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

Quantized Models of the Llama 2 70B Orca 200K

Model	Likes	Downloads	VRAM
Llama 2 70B Orca 200K GGUF	22	901	29 GB
Llama 2 70B Orca 200K AWQ	2	16	36 GB
Llama 2 70B Orca 200K GPTQ	6	10	36 GB
Llama 2 70B Orca 200K GGML	3	7	28 GB

Best Alternatives to Llama 2 70B Orca 200K

Best Alternatives	Context / RAM	Downloads	Likes
... Chat 1048K Chinese Llama3 70B	1024K / 141.9 GB	9069	5
... Chat 1048K Chinese Llama3 70B	1024K / 141.9 GB	7684	4
... 3 70B Instruct Gradient 1048K	1024K / 141.9 GB	22	122
Llama3 Function Calling 1048K	1024K / 141.9 GB	5	1
...a 3 70B Instruct Gradient 524K	512K / 141.9 GB	24	23
...a 3 70B Instruct Gradient 262K	256K / 141.9 GB	20	56
...ama 3 70B Arimas Story RP V2.0	256K / 141.1 GB	10	3
...ama 3 70B Arimas Story RP V1.6	256K / 141.2 GB	5	0
...ama 3 70B Arimas Story RP V1.5	256K / 141.2 GB	21	3
Llama 3.1 70B Instruct	128K / 141.9 GB	813492	938

Note: green Score (e.g. "73.2") means that the model is better than ddobokki/Llama-2-70b-orca-200k.