Your rig

Radeon RX 6700 XT · 12 GB

64 GB system RAM · RDNA 2 · 384 GB/s · 10.6 GB usable VRAM
Edit hardware Export as JSON

Context length

KV cache at f16, 8K tokens

Quality floor
Q8_0 — near-lossless Q6_K Q5_K_M Q4_K_M — recommended Q3_K_M Q2_K — damaged
KV cache type
System RAM (GB)
Runtime
Ollamallama.cppLM StudiovLLM

4 of 5 runtimes drive this device.

Allow CPU offload Include partial-offload fits

Offloaded layers run at 60 GB/s host bandwidth — expect single-digit tokens per second.

Which one should I actually run?

Best models for your Radeon RX 6700 XT

Updated 21 Aug 2026 5 new this week, 14 this month

What do you want to do? Each row is the best-ranked model on that use case's shortlist that fits at Q2_K and 8K. The ordering is editorial; the sizes and speeds are computed. How the shortlists work.

RecommendationModelWhyQuant · totalTok/s est.
Best overall Gemma 4 12B
Google · Apache 2.0
The 12 GB generalist: text, image and audio in, 140+ languages. Q2_K · 6.1 GB 50 Runs great
Best for coding Qwen3.5 9B
Alibaba · Apache 2.0
The best coding model for 8–12 GB cards. Q2_K · 4.6 GB 62 Runs great
Best reasoning Qwen3.5 9B
Alibaba · Apache 2.0
Thinking mode on a 12 GB card — ahead of the 2025 R1 distills. Q2_K · 4.6 GB 62 Runs great
Best for writing Gemma 4 12B
Google · Apache 2.0
The 12 GB writing pick; 140+ languages. Q2_K · 6.1 GB 50 Runs great
Best vision Gemma 4 12B
Google · Apache 2.0
Image and audio understanding on 12 GB. Q2_K · 6.1 GB 50 Runs great
Best for agents Granite 4.1 8B
IBM · Apache 2.0
Enterprise-grade tool calling in a dense 8B, no thinking overhead. Q2_K · 5.3 GB 68 Runs great
Best translation Gemma 4 12B
Google · Apache 2.0
Broad language coverage on a 12 GB card. Q2_K · 6.1 GB 50 Runs great
Fastest good model LFM2.5 8B-A1B
Liquid AI · LFM Open License v1.0
1.5B active; designed for laptops without a GPU. Q2_K · 4.0 GB 153 Runs great
Best long context Qwen3.5 9B
Alibaba · Apache 2.0
262K native in 8–12 GB. Q2_K · 8.4 GB
at 128K context
62 Runs great

Everything that fits

Runs great

37 of 76 · fits with headroom for a longer prompt
ModelParamsQuantWeights +KV 8KTotal VRAM headroom Tok/sRuntime
Qwen3 14B 14.8B Q2_K 5.8 GB 1.25 GB 7.6 GB
3.0 GB free
40 Ollama Run
DeepSeek-R1-Distill-Qwen 14B 14.8B Q2_K 5.8 GB 1.50 GB 7.9 GB
2.7 GB free
40 Ollama Run
Qwen2.5-Coder 14B 14.8B Q2_K 5.8 GB 1.50 GB 7.9 GB
2.7 GB free
40 Ollama Run
Phi-4 14B 14.7B Q2_K 5.7 GB 1.56 GB 7.9 GB
2.7 GB free
41 Ollama Run
Ministral 3 14B 13.9B Q2_K 5.4 GB 1.25 GB 7.3 GB
3.3 GB free
43 Ollama Run
Gemma 3 12B 12.2B Q2_K 4.8 GB 0.81 GB 6.2 GB
4.4 GB free
49 Ollama Run
Mistral NeMo 12B 12.2B Q2_K 4.8 GB 1.25 GB 6.6 GB
4.0 GB free
49 Ollama Run
Gemma 4 12B 12B Q2_K 4.7 GB 0.81 GB 6.1 GB
4.5 GB free
50 Ollama Run
Qwen3.5 9B 9.65B Q2_K 3.8 GB 0.25 GB 4.6 GB
6.0 GB free
62 Ollama Run
Ornith 1.5 9B New this week 9.41B Q2_K 3.7 GB 0.25 GB 4.5 GB
6.1 GB free
63 Ollama Run
Ministral 3 8B 8.92B Q2_K 3.5 GB 1.06 GB 5.1 GB
5.5 GB free
67 Ollama Run
Granite 4.1 8B 8.79B Q2_K 3.4 GB 1.25 GB 5.3 GB
5.3 GB free
68 Ollama Run
LFM2.5 8B-A1B 8.47B MoE / 1.5B act Q2_K 3.3 GB 0.09 GB 4.0 GB
6.6 GB free
153 Ollama Run
Fara 7B 8.29B Q2_K 3.2 GB 0.44 GB 4.3 GB
6.3 GB free
72 llama.cpp Run
Qwen3 8B 8.19B Q2_K 3.2 GB 1.13 GB 4.9 GB
5.7 GB free
73 Ollama Run
Llama 3.1 8B Instruct 8.03B Q2_K 3.1 GB 1.00 GB 4.7 GB
5.9 GB free
74 Ollama Run
Gemma 4 E4B 8.0B Q2_K 3.1 GB 0.14 GB 3.9 GB
6.7 GB free
75 Ollama Run
Ling 3.0 Tiny 7.9B-A1.3B New 7.9B MoE / 1.3B act Q2_K 3.1 GB 0.05 GB 3.7 GB
6.9 GB free
176 llama.cpp Run
DeepSeek-R1-Distill-Qwen 7B 7.62B Q2_K 3.0 GB 0.44 GB 4.0 GB
6.6 GB free
78 Ollama Run
Qwen2.5-Coder 7B 7.62B Q2_K 3.0 GB 0.44 GB 4.0 GB
6.6 GB free
78 Ollama Run
Olmo 3 7B Instruct 7.3B Q2_K 2.8 GB 2.50 GB 5.9 GB
4.7 GB free
82 Ollama Run
Mistral 7B Instruct v0.3 7.25B Q2_K 2.8 GB 1.00 GB 4.4 GB
6.2 GB free
82 Ollama Run
Gemma 4 E2B 5.1B Q2_K 2.0 GB 0.07 GB 2.7 GB
7.9 GB free
117 Ollama Run
Qwen3.5 4B 4.66B Q2_K 1.8 GB 0.25 GB 2.7 GB
7.9 GB free
128 Ollama Run
Gemma 3 4B 4.3B Q2_K 1.7 GB 0.30 GB 2.6 GB
8.0 GB free
139 Ollama Run
Qwen3 4B 4.02B Q2_K 1.6 GB 1.13 GB 3.3 GB
7.3 GB free
148 Ollama Run
Ministral 3 3B 3.85B Q2_K 1.5 GB 0.81 GB 2.9 GB
7.7 GB free
155 Ollama Run
Phi-4-mini 3.8B 3.84B Q2_K 1.5 GB 1.00 GB 3.1 GB
7.5 GB free
155 Ollama Run
Granite 4.1 3B 3.4B Q2_K 1.3 GB 0.63 GB 2.6 GB
8.0 GB free
175 Ollama Run
Llama 3.2 3B Instruct 3.21B Q2_K 1.3 GB 0.88 GB 2.7 GB
7.9 GB free
186 Ollama Run
LFM2.5 2.6B New 2.7B Q2_K 1.1 GB 0.13 GB 1.8 GB
8.8 GB free
221 llama.cpp Run
Qwen3.5 2B 2.27B Q2_K 0.9 GB 0.09 GB 1.6 GB
9.0 GB free
263 Ollama Run
Qwen3 1.7B 1.72B Q2_K 0.7 GB 0.88 GB 2.1 GB
8.5 GB free
347 Ollama Run
Llama 3.2 1B Instruct 1.24B Q2_K 0.5 GB 0.25 GB 1.3 GB
9.3 GB free
481 Ollama Run
Gemma 3 1B 1.0B Q2_K 0.4 GB 0.04 GB 1.0 GB
9.6 GB free
596 Ollama Run
Qwen3.5 0.8B 0.87B Q2_K 0.3 GB 0.09 GB 1.0 GB
9.6 GB free
685 Ollama Run
Qwen3 0.6B 0.6B Q2_K 0.2 GB 0.88 GB 1.7 GB
8.9 GB free
993 Ollama Run

Won't fit in VRAM

39 models · some are possible with CPU offload
ModelParamsQuantWeights +KV 8KTotal Over budget Tok/sRuntime
Qwen3.5 122B-A10B 125B MoE / 10B act Q2_K 48.7 GB 0.19 GB 49.5 GB +38.9 GB ~4.3 llama.cpp Why
Nemotron 3 Super 120B-A12B 124B MoE / 12B act Q2_K 48.4 GB 0.06 GB 49.0 GB +38.4 GB ~3.6 llama.cpp Why
Ling 3.0 Flash 124B-A5B New 124B MoE / 5.1B act Q2_K 48.4 GB 0.06 GB 49.0 GB +38.4 GB ~8.5 llama.cpp Why
Mistral Small 4 119B-A6B 119B MoE / 6.5B act Q2_K 46.4 GB 0.18 GB 47.2 GB +36.6 GB ~6.7 llama.cpp Why
gpt-oss 120B 117B MoE / 5.1B act MXFP4 60.5 GB 0.29 GB 61.4 GB +50.8 GB ~6.1 llama.cpp Why
Llama 4 Scout 109B-A17B 109B MoE / 17B act Q2_K 42.5 GB 1.50 GB 44.6 GB +34.0 GB ~2.5 llama.cpp Why
Llama 3.3 70B Instruct 70.6B Q2_K 27.5 GB 2.50 GB 30.6 GB +20.0 GB ~1.7 llama.cpp Why
DeepSeek-R1-Distill-Llama 70B 70.6B Q2_K 27.5 GB 2.50 GB 30.6 GB +20.0 GB ~1.7 llama.cpp Why
Qwen3.6 35B-A3B 35.9B MoE / 3.3B act Q2_K 14.0 GB 0.16 GB 14.8 GB +4.2 GB ~27 llama.cpp Why
Ornith 1.5 35B-A3B New this week 35.9B MoE / 3.3B act Q2_K 14.0 GB 0.16 GB 14.8 GB +4.2 GB ~27 llama.cpp Why
LLM-jp 4 33B Thinking New this week 33.2B Q2_K 12.9 GB 2.00 GB 15.5 GB +4.9 GB ~5.9 llama.cpp Why
Qwen3 32B 32.8B Q2_K 12.8 GB 2.00 GB 15.4 GB +4.8 GB ~6.0 llama.cpp Why
DeepSeek-R1-Distill-Qwen 32B 32.8B Q2_K 12.8 GB 2.00 GB 15.4 GB +4.8 GB ~6.0 llama.cpp Why
Qwen2.5-Coder 32B 32.8B Q2_K 12.8 GB 2.00 GB 15.4 GB +4.8 GB ~6.0 llama.cpp Why
Olmo 3.1 32B Instruct 32.2B Q2_K 12.6 GB 1.25 GB 14.4 GB +3.8 GB ~7.0 llama.cpp Why
Nemotron 3.5 Lightning 30B-A3B New 31.6B MoE / 3.2B act Q2_K 12.3 GB 0.05 GB 13.0 GB +2.4 GB ~35 llama.cpp Why
Gemma 4 31B 31.3B Q2_K 12.2 GB 2.03 GB 14.8 GB +4.2 GB ~6.6 llama.cpp Why
GLM-4.7-Flash 30B-A3B 31.2B MoE / 3B act Q2_K 12.2 GB 0.41 GB 13.2 GB +2.6 GB ~36 llama.cpp Why
Qwen3 30B-A3B 30.5B MoE / 3.3B act Q2_K 11.9 GB 0.75 GB 13.2 GB +2.6 GB ~32 llama.cpp Why
Qwen3 Coder 30B-A3B 30.5B MoE / 3.3B act Q2_K 11.9 GB 0.75 GB 13.2 GB +2.6 GB ~32 llama.cpp Why
Muse Glimmer 30B New 29.8B Q2_K 11.6 GB 0.18 GB 12.4 GB +1.8 GB ~11 llama.cpp Why
Granite 4.1 30B 28.9B Q2_K 11.3 GB 2.00 GB 13.9 GB +3.3 GB ~8.0 llama.cpp Why
Qwen3.8 27B New this week 27.8B Q2_K 10.8 GB 0.50 GB 11.9 GB +1.3 GB ~13 llama.cpp Why
Qwen3.6 27B 27.8B Q2_K 10.8 GB 0.50 GB 11.9 GB +1.3 GB ~13 llama.cpp Why
Gemma 3 27B 27.4B Q2_K 10.7 GB 1.03 GB 12.3 GB +1.7 GB ~12 llama.cpp Why
Gemma 4 26B-A4B 26.5B MoE / 3.8B act Q2_K 10.3 GB 0.51 GB 11.4 GB +0.8 GB ~42 llama.cpp Why
Devstral Small 2 24B 24B Q2_K 9.4 GB 1.25 GB 11.2 GB +0.6 GB ~18 llama.cpp Why
Mistral Small 3.2 24B 23.6B Q2_K 9.2 GB 1.25 GB 11.1 GB +0.5 GB ~20 llama.cpp Why
gpt-oss 20B 20.9B MoE / 3.6B act MXFP4 10.8 GB 0.19 GB 11.6 GB +1.0 GB ~32 llama.cpp Why
Kimi K3 2.8T-A104B New 2780B MoE / 104B act Q2_K 1084.2 GB 0.21 GB 1085.0 GB +1074.4 GB ~0.3 llama.cpp Why
Qwen3.8 2.4T-A95B New 2446B MoE / 95B act Q2_K 953.9 GB 0.72 GB 955.2 GB +944.6 GB ~0.4 llama.cpp Why
DeepSeek V4 Pro 1.6T-A49B New 1650B MoE / 49B act Q2_K 643.5 GB 0.54 GB 644.6 GB +634.0 GB ~0.7 llama.cpp Why
Kimi K2.6 1T-A32B 1027B MoE / 32B act Q2_K 400.5 GB 0.54 GB 401.7 GB +391.1 GB ~1.1 llama.cpp Why
GLM-5.2 744B-A40B 753B MoE / 40B act Q2_K 293.7 GB 0.69 GB 294.9 GB +284.3 GB ~0.9 llama.cpp Why
DeepSeek-R1 671B 671B MoE / 37B act Q2_K 261.7 GB 0.54 GB 262.8 GB +252.2 GB ~1.0 llama.cpp Why
Qwen3.5 397B-A17B 403B MoE / 17B act Q2_K 157.2 GB 0.23 GB 158.0 GB +147.4 GB ~2.2 llama.cpp Why
Ornith 1.5 397B-A17B New this week 397B MoE / 17B act Q2_K 154.8 GB 0.23 GB 155.7 GB +145.1 GB ~2.2 llama.cpp Why
DeepSeek V4 Flash 284B-A13B New 284B MoE / 13B act Q2_K 110.8 GB 0.38 GB 111.7 GB +101.1 GB ~3.0 llama.cpp Why
Qwen3 235B-A22B 235B MoE / 22B act Q2_K 91.6 GB 1.47 GB 93.7 GB +83.1 GB ~1.8 llama.cpp Why

Totals = quantised weights + f16 KV cache at 8K tokens + 0.6 GB runtime overhead, against 10.6 GB usable VRAM (12 GB less display and driver reserve). Tokens per second are estimated from 384 GB/s peak memory bandwidth at batch 1 — not measured. Read the method.