What are the hardware requirements for Bling Stable Lm 3B 4e1t V0?

Bling Stable Lm 3B 4e1t V0 requires approximately 5.6 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 Bling Stable Lm 3B 4e1t V0 and how large is it?

Bling Stable Lm 3B 4e1t V0 is developed by llmware, 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 Bling Stable Lm 3B 4e1t V0?

Bling Stable Lm 3B 4e1t V0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Bling Stable Lm 3B 4e1t V0 by llmware — VRAM 5.6GB, 4K context

Name: Bling Stable Lm 3B 4e1t V0
Author: llmware

Bling Stable Lm 3B 4e1t V0 is an open-source language model by llmware. Features: 3b LLM, VRAM: 5.6GB, Context: 4K, License: cc-by-sa-4.0, LLM Explorer Score: 0.09.

Custom code Pytorch Region:us Stablelm epoch

Model Card on HF 🤗: https://huggingface.co/llmware/bling-stable-lm-3b-4e1t-v0

Bling Stable Lm 3B 4e1t V0 Parameters and Internals

Model Type

Instruct-trained decoder

Use Cases

Applications:

Enterprise automation in knowledge-intensive industries like financial services and legal

Primary Use Cases:

Question-answering, Key-value extraction, Basic summarization

Additional Notes

Targeted at specific subset of instruct tasks. Ideal for rapid prototyping and testing.

Supported Languages

English (proficient)

Training Details

Methodology:

Fine-tuned with distilled high-quality custom instruct datasets.

Input Output

Input Format:

Text Passage Context, followed by specific question or instruction

Accepted Modalities:

text

Output Format:

Clear fact-based responses

Performance Tips:

Wrap inference entries for best results with provided prompts.

LLM Name	Bling Stable Lm 3B 4e1t V0
Repository 🤗	https://huggingface.co/llmware/bling-stable-lm-3b-4e1t-v0
Model Size	3b
Required VRAM	5.6 GB
Updated	2026-07-23
Maintainer	llmware
Model Type	stablelm_epoch
Model Files	5.6 GB
Model Architecture	StableLMEpochForCausalLM
License	cc-by-sa-4.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.33.2
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50304
Torch Data Type	bfloat16

Rank the Bling Stable Lm 3B 4e1t V0 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 Bling Stable Lm 3B 4e1t V0

Model	Likes	Downloads	VRAM
...ling Stable Lm 3B 4e1t V0 GGUF	3	295	1 GB
...ling Stable Lm 3B 4e1t V0 GPTQ	1	4	1 GB

Best Alternatives to Bling Stable Lm 3B 4e1t V0

Best Alternatives	Context / RAM	Downloads	Likes
Stable Code 3B Mlx	16K / 5.6 GB	17	1
Aura 3B	4K / 5.6 GB	3	2
Slim Extract	4K / 5.6 GB	10	13
Slim Boolean	4K / 5.6 GB	9	4
Slim Sa Ner	4K / 5.6 GB	20	6
Slim Tags 3B	4K / 5.6 GB	11	4
Slim Summary	4K / 5.6 GB	10	8
Slim Xsum	4K / 5.6 GB	14	6
Tofu 3B	4K / 5.6 GB	5	2
Memphis CoT 3B	4K / 5.6 GB	24	31

Note: green Score (e.g. "73.2") means that the model is better than llmware/bling-stable-lm-3b-4e1t-v0.