What are the hardware requirements for Fc Reasoning 2.1B?

Fc Reasoning 2.1B requires approximately 4.2 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.

Who developed Fc Reasoning 2.1B and how large is it?

Fc Reasoning 2.1B is developed by amphora, a model with 2.1b 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 Fc Reasoning 2.1B?

Fc Reasoning 2.1B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Fc Reasoning 2.1B by amphora — VRAM 4.2GB, 32K context

Name: Fc Reasoning 2.1B
Author: amphora

Fc Reasoning 2.1B is an open-source language model by amphora. Features: 2.1b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.2.

Axolotl Base model:finetune:kakaocorp/... Base model:kakaocorp/kanana-1.... Conversational Dataset:train.jsonl Endpoints compatible Generated from trainer Instruct Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/amphora/fc-reasoning-2.1b

Fc Reasoning 2.1B Parameters and Internals

LLM Name	Fc Reasoning 2.1B
Repository 🤗	https://huggingface.co/amphora/fc-reasoning-2.1b
Base Model(s)	kakaocorp/kanana-1.5-2.1b-instruct-2505 kakaocorp/kanana-1.5-2.1b-instruct-2505
Model Size	2.1b
Required VRAM	4.2 GB
Updated	2026-08-07
Maintainer	amphora
Model Type	llama
Instruction-Based	Yes
Model Files	4.2 GB 0.0 GB
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.55.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128259
Torch Data Type	bfloat16

Rank the Fc Reasoning 2.1B 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 Fc Reasoning 2.1B

Best Alternatives	Context / RAM	Downloads	Likes
Kanana 1.5 2.1B Instruct 2505	32K / 4.6 GB	5371	37
Kanana Nano 2.1B Instruct	8K / 4.2 GB	1025	75
EcomGen 0.0.2v	8K / 8.4 GB	8	0
Phi 3.5 Pii Test 13	128K / 7.6 GB	5	0
...Nano 2.1B Instruct Abliterated	8K / 8.4 GB	10	4

Note: green Score (e.g. "73.2") means that the model is better than amphora/fc-reasoning-2.1b.