What are the hardware requirements for Bolna Lead Qualification?

Bolna Lead Qualification requires approximately 13.8 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 Bolna Lead Qualification and how large is it?

Bolna Lead Qualification is developed by pmarmik, a model with 6.9b 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 Bolna Lead Qualification?

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

Bolna Lead Qualification by pmarmik — VRAM 13.8GB, 16K context

Name: Bolna Lead Qualification
Author: pmarmik

Bolna Lead Qualification is an open-source language model by pmarmik. Features: 6.9b LLM, VRAM: 13.8GB, Context: 16K, License: apache-2.0, LLM Explorer Score: 0.11.

Base model:finetune:pmarmik/op... Base model:pmarmik/openhathi-s... Conversational En Endpoints compatible Llama Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/pmarmik/bolna-lead-qualification

Bolna Lead Qualification Parameters and Internals

LLM Name	Bolna Lead Qualification
Repository 🤗	https://huggingface.co/pmarmik/bolna-lead-qualification
Base Model(s)	pmarmik/openhathi-samvaad-3epoch pmarmik/openhathi-samvaad-3epoch
Model Size	6.9b
Required VRAM	13.8 GB
Updated	2026-05-28
Maintainer	pmarmik
Model Type	llama
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 3.8 GB: 3-of-3
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	16384
Model Max Length	16384
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	48064
Torch Data Type	bfloat16

Rank the Bolna Lead Qualification capabilities

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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 Bolna Lead Qualification

Best Alternatives	Context / RAM	Downloads	Likes
Sambanova Llama2 100	4K / 13.9 GB	5	0
Mymath Merged 01	4K / 13.9 GB	6	0
Gorilla Finetuned	4K / 13.8 GB	8	0
STP Model Lean 0320	4K / 13.8 GB	150	1
Deep Neural V1	4K / 27.7 GB	65	0
ProofSeeker V1	4K / 13.9 GB	25	0
...j Pair8 Ds Coder Rmsprop Iter4	4K / 13.9 GB	145	0
... Ds Coder Reflct Rmsprop Iter4	4K / 13.9 GB	105	0
...8 Ds Chat Reflct Rmsprop Iter2	4K / 13.9 GB	87	0
... Ds Coder Reflct Rmsprop Iter3	4K / 13.9 GB	70	0

Note: green Score (e.g. "73.2") means that the model is better than pmarmik/bolna-lead-qualification.