What are the hardware requirements for Cobalt Seeded Rl Base Ramp25 Stoppen Gen4k Ep2 Ncp5 N3nc Base?

Cobalt Seeded Rl Base Ramp25 Stoppen Gen4k Ep2 Ncp5 N3nc Base requires approximately 8 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Cobalt Seeded Rl Base Ramp25 Stoppen Gen4k Ep2 Ncp5 N3nc Base?

Cobalt Seeded Rl Base Ramp25 Stoppen Gen4k Ep2 Ncp5 N3nc Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Cobalt Seeded Rl Base Ramp25 Stoppen Gen4k Ep2 Ncp5 N3nc Base by agurung — VRAM 8GB, 256K context

Name: Cobalt Seeded Rl Base Ramp25 Stoppen Gen4k Ep2 Ncp5 N3nc Base
Author: agurung

Cobalt Seeded Rl Base Ramp25 Stoppen Gen4k Ep2 Ncp5 N3nc Base is an open-source language model by agurung. Features: 4b LLM, VRAM: 8GB, Context: 256K, Instruction-Based, LLM Explorer Score: 0.34.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-instr... Code-generation Endpoints compatible Grpo Instruct Nemotron h Openrlhf Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/agurung/cobalt-seeded-rl-base-ramp25-stoppen-gen4k-ep2-ncp5-n3nc-base

Cobalt Seeded Rl Base Ramp25 Stoppen Gen4k Ep2 Ncp5 N3nc Base Parameters and Internals

LLM Name	Cobalt Seeded Rl Base Ramp25 Stoppen Gen4k Ep2 Ncp5 N3nc Base
Repository 🤗	https://huggingface.co/agurung/cobalt-seeded-rl-base-ramp25-stoppen-gen4k-ep2-ncp5-n3nc-base
Base Model(s)	Qwen3 4B Instruct 2507 Qwen/Qwen3-4B-Instruct-2507
Model Size	4b
Required VRAM	8 GB
Updated	2026-10-11
Maintainer	agurung
Model Type	nemotron_h
Instruction-Based	Yes
Model Files	8.0 GB
Model Architecture	NemotronHForCausalLM
Context Length	262144
Model Max Length	262144
Transformers Version	5.14.1
Tokenizer Class	TokenizersBackend
Padding Token	<\|im_end\|>
Vocabulary Size	131072

Rank the Cobalt Seeded Rl Base Ramp25 Stoppen Gen4k Ep2 Ncp5 N3nc Base 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 Cobalt Seeded Rl Base Ramp25 Stoppen Gen4k Ep2 Ncp5 N3nc Base

Best Alternatives	Context / RAM	Downloads	Likes
...oppen Gen4k Ep2 Ncp5 N3nc Vs16	256K / 8 GB	2477	1
...ppen Gen4k Ep2 Ncp5 N3nc Iid16	256K / 8 GB	2447	1
NVIDIA Nemotron 3 Nano 4B FP8	256K / 5.3 GB	83285	27
NVIDIA Nemotron 3 Nano 4B BF16	256K / 7.9 GB	131	2
Nemotron H 4B Instruct 128K	128K / 9 GB	1686	10
... Nemotron 3 Nano 4B OptiQ 4bit	256K / 3.1 GB	855	3
NVIDIA Nemotron 3 Nano 4B 4bit	256K / 2.2 GB	445	2
NVIDIA Nemotron 3 Nano 4B 6bit	256K / 3.2 GB	47	1

Note: green Score (e.g. "73.2") means that the model is better than agurung/cobalt-seeded-rl-base-ramp25-stoppen-gen4k-ep2-ncp5-n3nc-base.