What are the hardware requirements for BASH Coder Mistral 7B Mistral 7B Instruct V0.2 Slerp?

BASH Coder Mistral 7B Mistral 7B Instruct V0.2 Slerp requires approximately 14.5 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate BASH Coder Mistral 7B Mistral 7B Instruct V0.2 Slerp?

BASH Coder Mistral 7B Mistral 7B Instruct V0.2 Slerp is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

BASH Coder Mistral 7B Mistral 7B Instruct V0.2 Slerp by MaziyarPanahi — VRAM 14.5GB, 32K context

Name: BASH Coder Mistral 7B Mistral 7B Instruct V0.2 Slerp
Author: MaziyarPanahi

BASH Coder Mistral 7B Mistral 7B Instruct V0.2 Slerp is an open-source language model by MaziyarPanahi. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Instruction-Based, Code Generating, Merged, LLM Explorer Score: 0.1.

Merged Model 7b Codegen Conversational Endpoints compatible Instruct Mistral Mistralai/mistral-7b-instruct-... Region:us Rvv-karma/bash-coder-mistral-7... Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/BASH-Coder-Mistral-7B-Mistral-7B-Instruct-v0.2-slerp

BASH Coder Mistral 7B Mistral 7B Instruct V0.2 Slerp Parameters and Internals

Model Type

merge, mergekit, mistral, 7b, lazymergekit

LLM Name	BASH Coder Mistral 7B Mistral 7B Instruct V0.2 Slerp
Repository 🤗	https://huggingface.co/MaziyarPanahi/BASH-Coder-Mistral-7B-Mistral-7B-Instruct-v0.2-slerp
Merged Model	Yes
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-08-08
Maintainer	MaziyarPanahi
Model Type	mistral
Instruction-Based	Yes
Model Files	10.0 GB: 1-of-2 4.5 GB: 2-of-2
Generates Code	Yes
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the BASH Coder Mistral 7B Mistral 7B Instruct V0.2 Slerp 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 BASH Coder Mistral 7B Mistral 7B Instruct V0.2 Slerp

Model	Likes	Downloads	VRAM
...al 7B Instruct V0.2 Slerp GGUF	6	875	2 GB

Best Alternatives to BASH Coder Mistral 7B Mistral 7B Instruct V0.2 Slerp

Best Alternatives	Context / RAM	Downloads	Likes
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
Lexi Coder V5.1	32K / 14.5 GB	197	0
Mistral 7B Merged	32K / 14.5 GB	6	0
Jett W26 Abliterated	32K / 14.4 GB	8	1
Ultra Llm Merged	32K / 14.5 GB	7	0
Damysus Coder V0.1	32K / 14.4 GB	17	0

Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/BASH-Coder-Mistral-7B-Mistral-7B-Instruct-v0.2-slerp.