What are the hardware requirements for Llm Compiler 7B Ftd GGUF?

Llm Compiler 7B Ftd GGUF requires approximately 2.5 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llm Compiler 7B Ftd GGUF and how large is it?

Llm Compiler 7B Ftd GGUF is developed by second-state, 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 Llm Compiler 7B Ftd GGUF?

Llm Compiler 7B Ftd GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llm Compiler 7B Ftd GGUF by second-state — VRAM 2.5GB, 16K context

Name: Llm Compiler 7B Ftd GGUF
Author: second-state

Llm Compiler 7B Ftd GGUF is an open-source language model by second-state. Features: 7b LLM, VRAM: 2.5GB, Context: 16K, License: other, Quantized, LLM Explorer Score: 0.13.

Base model:facebook/llm-compil... Base model:quantized:facebook/... Code Gguf Llama Q2 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/second-state/llm-compiler-7b-ftd-GGUF

Llm Compiler 7B Ftd GGUF Parameters and Internals

LLM Name	Llm Compiler 7B Ftd GGUF
Repository 🤗	https://huggingface.co/second-state/llm-compiler-7b-ftd-GGUF
Model Name	llm-compiler-7b
Model Creator	facebook
Base Model(s)	facebook/llm-compiler-7b-ftd facebook/llm-compiler-7b-ftd
Model Size	7b
Required VRAM	2.5 GB
Updated	2026-07-31
Maintainer	second-state
Model Type	llama
Model Files	2.5 GB 3.6 GB 3.3 GB 3.0 GB 3.8 GB 4.1 GB 3.9 GB 4.7 GB 4.8 GB 4.7 GB 5.5 GB 7.2 GB 13.5 GB
Supported Languages	code
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	LlamaForCausalLM
License	other
Context Length	16384
Model Max Length	16384
Transformers Version	4.37.2
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Llm Compiler 7B Ftd GGUF 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 Llm Compiler 7B Ftd GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Lucie 7B Instruct	31K / 13.4 GB	4115	20
Lucie 7B Instruct Human Data	31K / 13.4 GB	371	7
Lucie 7B Instruct Gguf	31K / 4.1 GB	1568	4
Sqlcoder 7B 2	16K / 13.5 GB	26624	436
Llm Compiler 7B GGUF	16K / 2.5 GB	243	0
Llm Compiler 7B GGUF	16K / 2.5 GB	121	1
Llm Compiler 7B Ftd GGUF	16K / 2.5 GB	111	0
Bachinstruct Codellama7b	16K / 13.5 GB	39	1
...pseek Coder 6.7B Instruct GGUF	16K / 2.5 GB	2370	8
Solidity	16K / 2.8 GB	211	0

Note: green Score (e.g. "73.2") means that the model is better than second-state/llm-compiler-7b-ftd-GGUF.