Supported Models

llmfit ships with a curated database of 106 LLM models from HuggingFace. All memory estimates assume Q4_K_M quantization (0.5 bytes per parameter) unless noted otherwise.

01.ai

Model	Parameters	Quantization	Context	Use Case
01-ai/Yi-6B-Chat	6.1B	Q4_K_M	4k	Instruction following, chat
01-ai/Yi-34B-Chat	34.4B	Q4_K_M	4k	Instruction following, chat

Alibaba

Model	Parameters	Quantization	Context	Use Case
Qwen/Qwen3-0.6B	600M	Q4_K_M	40k	Lightweight, edge deployment
Qwen/Qwen3.5-0.8B	873M	Q4_K_M	256k	Multimodal, vision and text
Qwen/Qwen3.5-0.8B-Base	873M	Q4_K_M	256k	Multimodal, vision and text
Qwen/Qwen2.5-Coder-1.5B-Instruct	1.5B	Q4_K_M	32k	Code generation and completion
Qwen/Qwen3-1.7B	1.7B	Q4_K_M	40k	Lightweight, edge deployment
Qwen/Qwen3.5-2B	2.3B	Q4_K_M	256k	Multimodal, vision and text
Qwen/Qwen3.5-2B-Base	2.3B	Q4_K_M	256k	Multimodal, vision and text
Qwen/Qwen2.5-VL-3B-Instruct	3.8B	Q4_K_M	32k	Multimodal, vision and text
Qwen/Qwen3-4B	4.0B	Q4_K_M	40k	General purpose text generation
Qwen/Qwen3.5-4B	4.7B	Q4_K_M	256k	Multimodal, vision and text
Qwen/Qwen3.5-4B-Base	4.7B	Q4_K_M	256k	Multimodal, vision and text
Qwen/Qwen2.5-7B-Instruct	7.6B	Q4_K_M	32k	Instruction following, chat
Qwen/Qwen2.5-Coder-7B-Instruct	7.6B	Q4_K_M	32k	Code generation and completion
Qwen/Qwen3-8B	8.2B	Q4_K_M	40k	General purpose text generation
Qwen/Qwen2.5-VL-7B-Instruct	8.3B	Q4_K_M	32k	Multimodal, vision and text
Qwen/Qwen3.5-9B	9.7B	Q4_K_M	256k	Multimodal, vision and text
Qwen/Qwen3.5-9B-Base	9.7B	Q4_K_M	256k	Multimodal, vision and text
Qwen/Qwen2.5-14B-Instruct	14.8B	Q4_K_M	128k	Instruction following, chat
Qwen/Qwen3-14B	14.8B	Q4_K_M	128k	General purpose text generation
Qwen/Qwen2.5-Coder-14B-Instruct	14.8B	Q4_K_M	32k	Code generation and completion
Qwen/Qwen3.5-27B	27.8B	Q4_K_M	256k	Multimodal, vision and text
Qwen/Qwen3-30B-A3B	30.5B (MoE)	Q4_K_M	40k	Efficient MoE, general purpose
Qwen/Qwen3.5-35B-A3B	36.0B (MoE)	Q4_K_M	256k	Multimodal, vision and text
Qwen/Qwen2.5-32B-Instruct	32.5B	Q4_K_M	128k	Instruction following, chat
Qwen/Qwen3-32B	32.8B	Q4_K_M	40k	General purpose text generation
Qwen/Qwen2.5-Coder-32B-Instruct	32.8B	Q4_K_M	32k	Code generation and completion
Qwen/Qwen2.5-72B-Instruct	72.7B	Q4_K_M	32k	Instruction following, chat
Qwen/Qwen3.5-122B-A10B	125.1B (MoE)	Q4_K_M	256k	Multimodal, vision and text
Qwen/Qwen3-235B-A22B	235B (MoE)	Q4_K_M	40k	State-of-the-art, MoE architecture
Qwen/Qwen3.5-397B-A17B	403.4B (MoE)	Q4_K_M	256k	Multimodal, vision and text
Qwen/Qwen3-Coder-480B-A35B-Instruct	480B (MoE)	Q4_K_M	256k	Code generation and completion

Allen Institute

Model	Parameters	Quantization	Context	Use Case
allenai/OLMo-2-0325-32B-Instruct	32B	Q4_K_M	4k	Fully open-source, instruction following

Ant Group

Model	Parameters	Quantization	Context	Use Case
inclusionAI/Ling-lite	16.8B (MoE)	Q4_K_M	128k	Efficient MoE, general purpose

BAAI

Model	Parameters	Quantization	Context	Use Case
BAAI/bge-large-en-v1.5	335M	Q4_K_M	512	Text embeddings for RAG

Baidu

Model	Parameters	Quantization	Context	Use Case
baidu/ERNIE-4.5-300B-A47B-Paddle	300B (MoE)	Q4_K_M	128k	Multilingual, reasoning

BigCode

Model	Parameters	Quantization	Context	Use Case
bigcode/starcoder2-7b	7.2B	Q4_K_M	16k	Code generation and completion
bigcode/starcoder2-15b	15.7B	Q4_K_M	16k	Code generation and completion

BigScience

Model	Parameters	Quantization	Context	Use Case
bigscience/bloom	176B	Q4_K_M	2k	Multilingual text generation

Cohere

Model	Parameters	Quantization	Context	Use Case
CohereForAI/c4ai-command-r-v01	35B	Q4_K_M	128k	RAG, tool use, agents

Community

Model	Parameters	Quantization	Context	Use Case
TinyLlama/TinyLlama-1.1B-Chat-v1.0	1.1B	Q4_K_M	2k	Instruction following, chat

DeepSeek

Model	Parameters	Quantization	Context	Use Case
deepseek-ai/DeepSeek-R1-Distill-Qwen-7B	7.6B	Q4_K_M	128k	Advanced reasoning, chain-of-thought
deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct	16B (MoE)	Q4_K_M	128k	Code generation and completion
deepseek-ai/DeepSeek-R1-Distill-Qwen-32B	32.8B	Q4_K_M	128k	Advanced reasoning, chain-of-thought
deepseek-ai/DeepSeek-R1	671B (MoE)	Q4_K_M	128k	Advanced reasoning, chain-of-thought
deepseek-ai/DeepSeek-V3	685B (MoE)	Q4_K_M	128k	State-of-the-art, MoE architecture

Google

Model	Parameters	Quantization	Context	Use Case
google/gemma-3-1b-it	1B	Q4_K_M	32k	Lightweight, edge deployment
google/gemma-2-2b-it	2.6B	Q4_K_M	4k	General purpose text generation
google/gemma-3-4b-it	4B	Q4_K_M	128k	Lightweight, general purpose
google/gemma-2-9b-it	9.2B	Q4_K_M	4k	General purpose text generation
google/gemma-3-12b-it	12B	Q4_K_M	128k	Multimodal, vision and text
google/gemma-3-27b-it	27B	Q4_K_M	128k	General purpose text generation
google/gemma-2-27b-it	27.2B	Q4_K_M	4k	General purpose text generation

HuggingFace

Model	Parameters	Quantization	Context	Use Case
HuggingFaceH4/zephyr-7b-beta	7.2B	Q4_K_M	32k	General purpose text generation

IBM

Model	Parameters	Quantization	Context	Use Case
ibm-granite/granite-4.0-h-micro	3B	Q4_K_M	128k	Enterprise, hybrid Mamba/transformer
ibm-granite/granite-4.0-h-tiny	7B (MoE)	Q4_K_M	128k	Enterprise, hybrid Mamba/transformer
ibm-granite/granite-3.1-8b-instruct	8.1B	Q4_K_M	128k	Enterprise, instruction following
ibm-granite/granite-4.0-h-small	32B (MoE)	Q4_K_M	128k	Enterprise, hybrid Mamba/transformer

LMSYS

Model	Parameters	Quantization	Context	Use Case
lmsys/vicuna-7b-v1.5	7.0B	Q4_K_M	4k	Instruction following, chat
lmsys/vicuna-13b-v1.5	13.0B	Q4_K_M	4k	Instruction following, chat

Meituan

Model	Parameters	Quantization	Context	Use Case
meituan/LongCat-Flash	560B (MoE)	Q4_K_M	512k	Long context MoE

Meta

Model	Parameters	Quantization	Context	Use Case
meta-llama/Llama-3.2-1B	1.2B	Q4_K_M	4k	General purpose text generation
meta-llama/Llama-3.2-3B	3.2B	Q4_K_M	4k	General purpose text generation
meta-llama/CodeLlama-7b-Instruct-hf	6.7B	Q4_K_M	4k	Code generation and completion
meta-llama/Llama-3.1-8B	8.0B	Q4_K_M	4k	General purpose text generation
meta-llama/Llama-3.1-8B-Instruct	8.0B	Q4_K_M	4k	Instruction following, chat
meta-llama/Llama-3.2-11B-Vision-Instruct	10.7B	Q4_K_M	4k	Instruction following, chat
meta-llama/CodeLlama-13b-Instruct-hf	13.0B	Q4_K_M	4k	Code generation and completion
meta-llama/CodeLlama-34b-Instruct-hf	33.7B	Q4_K_M	4k	Code generation and completion
meta-llama/Llama-3.1-70B-Instruct	70.6B	Q4_K_M	4k	Instruction following, chat
meta-llama/Llama-3.3-70B-Instruct	70.6B	Q4_K_M	128k	Instruction following, chat
meta-llama/Llama-4-Scout-17B-16E-Instruct	109B (MoE)	Q4_K_M	10M	Multimodal, vision and text
meta-llama/Llama-4-Maverick-17B-128E-Instruct	400B (MoE)	Q4_K_M	1M	Multimodal, vision and text
meta-llama/Llama-3.1-405B-Instruct	405.9B	Q4_K_M	4k	Instruction following, chat

Microsoft

Model	Parameters	Quantization	Context	Use Case
microsoft/phi-3-mini-4k-instruct	3.8B	Q4_K_M	4k	Lightweight, edge deployment
microsoft/Phi-3.5-mini-instruct	3.8B	Q4_K_M	128k	Lightweight, long context
microsoft/Phi-4-mini-instruct	3.8B	Q4_K_M	128k	Lightweight, edge deployment
microsoft/Orca-2-7b	7.0B	Q4_K_M	4k	Reasoning, step-by-step solutions
microsoft/Orca-2-13b	13.0B	Q4_K_M	4k	Reasoning, step-by-step solutions
microsoft/phi-4	14B	Q4_K_M	16k	Reasoning, STEM, code generation
microsoft/Phi-3-medium-14b-instruct	14B	Q4_K_M	4k	Balanced performance and size

Mistral AI

Model	Parameters	Quantization	Context	Use Case
mistralai/Mistral-7B-Instruct-v0.3	7.2B	Q4_K_M	32k	Instruction following, chat
mistralai/Ministral-8B-Instruct-2410	8.0B	Q4_K_M	32k	Instruction following, chat
mistralai/Mistral-Nemo-Instruct-2407	12.2B	Q4_K_M	128k	Instruction following, chat
mistralai/Mistral-Small-24B-Instruct-2501	24B	Q4_K_M	32k	Instruction following, chat
mistralai/Mistral-Small-3.1-24B-Instruct-2503	24B	Q4_K_M	128k	Multimodal, vision and text
mistralai/Mixtral-8x7B-Instruct-v0.1	46.7B (MoE)	Q4_K_M	32k	Instruction following, chat
mistralai/Mistral-Large-Instruct-2407	123B	Q4_K_M	128k	Large-scale instruction following
mistralai/Mixtral-8x22B-Instruct-v0.1	140.6B (MoE)	Q4_K_M	64k	Large MoE, instruction following

Moonshot

Model	Parameters	Quantization	Context	Use Case
moonshotai/Kimi-K2-Instruct	1000B (MoE)	Q4_K_M	128k	Large MoE, reasoning

Nomic

Model	Parameters	Quantization	Context	Use Case
nomic-ai/nomic-embed-text-v1.5	137M	F16	8k	Text embeddings for RAG

NousResearch

Model	Parameters	Quantization	Context	Use Case
NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO	46.7B (MoE)	Q4_K_M	32k	General purpose text generation

OpenChat

Model	Parameters	Quantization	Context	Use Case
openchat/openchat-3.5-0106	7.0B	Q4_K_M	8k	Instruction following, chat

Rednote

Model	Parameters	Quantization	Context	Use Case
rednote-hilab/dots.llm1.inst	142B (MoE)	Q4_K_M	128k	MoE, general purpose

Stability AI

Model	Parameters	Quantization	Context	Use Case
stabilityai/stablelm-2-1_6b-chat	1.6B	Q4_K_M	4k	Instruction following, chat

TII

Model	Parameters	Quantization	Context	Use Case
tiiuae/falcon-7b-instruct	7.2B	Q4_K_M	4k	Instruction following, chat
tiiuae/Falcon3-7B-Instruct	7.5B	Q4_K_M	32k	Instruction following, chat
tiiuae/Falcon3-10B-Instruct	10.3B	Q4_K_M	32k	Instruction following, chat
tiiuae/falcon-40b-instruct	40.0B	Q4_K_M	2k	Instruction following, chat
tiiuae/falcon-180B-chat	180B	Q4_K_M	2k	Large-scale instruction following

Upstage

Model	Parameters	Quantization	Context	Use Case
upstage/SOLAR-10.7B-Instruct-v1.0	10.7B	Q4_K_M	4k	High-performance instruction following

WizardLM

Model	Parameters	Quantization	Context	Use Case
WizardLMTeam/WizardLM-13B-V1.2	13.0B	Q4_K_M	4k	Instruction following, chat
WizardLMTeam/WizardCoder-15B-V1.0	15.5B	Q4_K_M	8k	Code generation and completion

xAI

Model	Parameters	Quantization	Context	Use Case
xai-org/grok-1	314B (MoE)	Q4_K_M	8k	Large MoE, general purpose

Zhipu AI

Model	Parameters	Quantization	Context	Use Case
THUDM/glm-4-9b-chat	9B	Q4_K_M	128k	Multilingual, instruction following