What are the hardware requirements for Rohit Sharma?

Rohit Sharma requires approximately 10.6 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 Rohit Sharma and how large is it?

Rohit Sharma is developed by CharacterEcho, a model with 3b 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 Rohit Sharma?

Rohit Sharma is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Rohit Sharma by CharacterEcho — VRAM 10.6GB, 4K context

Name: Rohit Sharma
Author: CharacterEcho

Rohit Sharma is an open-source language model by CharacterEcho. Features: 3b LLM, VRAM: 10.6GB, Context: 4K, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

Conversational Dataset:characterecho/rohit-sh... Endpoints compatible Gguf Imatrix Q5 Quantized Region:us Safetensors Sharded Stablelm Tensorflow

Model Card on HF 🤗: https://huggingface.co/CharacterEcho/Rohit-Sharma

Rohit Sharma Parameters and Internals

Model Type

text generation

Use Cases

Areas:

text generation, conversational AI, content creation

Applications:

generate content mimicking Rohit Sharma, develop chatbots that interact like Rohit Sharma, create articles, social media posts, or scripts

Supported Languages

English (fluent)

LLM Name	Rohit Sharma
Repository 🤗	https://huggingface.co/CharacterEcho/Rohit-Sharma
Model Size	3b
Required VRAM	10.6 GB
Updated	2026-08-25
Maintainer	CharacterEcho
Model Type	stablelm
Model Files	4.9 GB: 1-of-3 4.9 GB: 2-of-3 0.8 GB: 3-of-3 1.5 GB 1.9 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q5\|q5_k
Model Architecture	StableLmForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.42.3
Tokenizer Class	GPTNeoXTokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	50280
Torch Data Type	float16

Rank the Rohit Sharma 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 Rohit Sharma

Best Alternatives	Context / RAM	Downloads	Likes
Stable Code 3B	16K / 5.6 GB	5507	666
Stable Cypher Instruct 3B	16K / 1.7 GB	864	34
Stable Code Instruct 3B	16K / 5.6 GB	2134	189
Stable Cypher Instruct 3B	16K / 1.7 GB	263	26
...struct 3B Spider 1500 Steps Q4	16K / 1.7 GB	36	0
NSFW 3B	4K / 10.6 GB	15664	194
HELVETE 3B	4K / 10.6 GB	526	199
HelpingAI 3B Chat	4K / 10.6 GB	70	3
Stable Code Instruct 3B 4bit	16K / 1.8 GB	52	5
Stable Code 3B 4bit	16K / 1.8 GB	17	1

Note: green Score (e.g. "73.2") means that the model is better than CharacterEcho/Rohit-Sharma.