What are the hardware requirements for Llama 2 7B Ft Instruct Es AWQ?

Llama 2 7B Ft Instruct Es AWQ requires approximately 3.9 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 7B Ft Instruct Es AWQ and how large is it?

Llama 2 7B Ft Instruct Es AWQ is developed by TheBloke, a model with 7b 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 7B Ft Instruct Es AWQ?

Llama 2 7B Ft Instruct Es AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 2 7B Ft Instruct Es AWQ by TheBloke — VRAM 3.9GB, 4K context

Name: Llama 2 7B Ft Instruct Es AWQ
Author: TheBloke

Llama 2 7B Ft Instruct Es AWQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 3.9GB, Context: 4K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.1.

4-bit Awq Base model:clibrain/llama-2-7b... Base model:quantized:clibrain/... Es Instruct Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/Llama-2-7B-ft-instruct-es-AWQ

Llama 2 7B Ft Instruct Es AWQ Parameters and Internals

Model Type

text generation

Supported Languages

es (high proficiency)

Input Output

Input Format:

{prompt}

Accepted Modalities:

text

LLM Name	Llama 2 7B Ft Instruct Es AWQ
Repository 🤗	https://huggingface.co/TheBloke/Llama-2-7B-ft-instruct-es-AWQ
Model Name	Llama 2 7B FT Instruct ES
Model Creator	CliBrAIn
Base Model(s)	Llama 2 7B Ft Instruct Es clibrain/Llama-2-7b-ft-instruct-es
Model Size	7b
Required VRAM	3.9 GB
Updated	2026-07-26
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	3.9 GB
Supported Languages	es
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.35.2
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 7B Ft Instruct Es AWQ 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

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Llama 2 7B 32K Instruct AWQ	32K / 3.9 GB	3	2
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...ama 7B Instruct Hf W4 G128 AWQ	16K / 3.9 GB	6	0
CausalLM 7B AWQ	8K / 5.8 GB	5	3
...essianai 7B Chat Bilingual AWQ	8K / 3.9 GB	15	2
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...epseek Math 7B Instruct AWQ Q4	4K / 4.8 GB	6	0
Swallow 7B Instruct AWQ	4K / 4.1 GB	5	1
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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Llama-2-7B-ft-instruct-es-AWQ.