Can Falcon 7B Instruct run on GTX 1070 8GB?

YES — Runs Great

A70Great

○Estimated from fit model

Falcon 7B Instruct needs ~6.4 GB VRAM. GTX 1070 8GB has 8.0 GB. With Q4_K_M quantization, expect ~39 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: LowStack: BasicBottleneck: Balanced

Operating mode

Choose the run profile you care about

Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.

Current mode

Balanced

Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 6.4 GB, 38.9 tok/s, Runs well

6.4 GB required8.0 GB available

80% VRAM used

Fit status

Runs well

Decode

38.9 tok/s

TTFT

4982 ms

Safe context

Memory

6.4 GB / 8.0 GB

Memory breakdown

Weights4.3 GB

KV Cache0.1 GB

Runtime1.2 GB

Headroom0.8 GB

See how fast it feels

See how fast it feelsFalcon 7B Instruct on GTX 1070 8GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step.

Given information:
 - Speed = 60 mph (miles per hour)
 - Time = 2.5 hours

Formula: Distance = Speed x Time

Calculation:
 Distance = 60 mph x 2.5 h
 = 150 miles

The train travels 150 miles.

Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time.

Breakdown:
 - First half: 1.25 hours at 60 mph = 75 miles
 - Stop: 20 minutes (no distance)
 - Second half: 1.25 hours at 60 mph = 75 miles

Total distance: 150 miles (same)
Total time: 2.5 h + 0.33 h = 2.83 hours
Average speed: 150 / 2.83 = 53 mph

The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 38.9 tok/s decode · 5.0s TTFT (warm) · 97 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

Older PCIe generation

PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.

Best improvement path

Performance by workload

Workload	Grade	Fit	Decode	TTFT	Context
Chat	A	Runs well	38.9 tok/s	2717 ms	8K
Coding	A	Runs well	38.9 tok/s	4982 ms	8K
Agentic Coding	A	Runs well	38.9 tok/s	7247 ms	8K
Reasoning	A	Runs well	38.9 tok/s	5888 ms	8K
RAG	A	Runs well	38.9 tok/s	9058 ms	8K

Quantization options

How Falcon 7B Instruct (7B params) fits at each quantization level on GTX 1070 8GB (8.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	2.7 GB	Low	B69
Q3_K_S	3	3.4 GB	Low	B70
NVFP4	4	3.9 GB	Medium	B69
Q4_K_M	4	4.3 GB	Medium	B69
Q5_K_MBest for your GPU	5	5.0 GB	High	B69
Q6_K	6	5.7 GB	High	F0
Q8_0	8	7.5 GB	Very High	F0
F16	16	14.3 GB	Maximum	F0

Get started

Copy-paste commands to run Falcon 7B Instruct on your machine.

Run

lms load falcon-7b-instruct && lms server start

Your hardware

More models your GTX 1070 8GB can run

Model	Params	Grade	Decode
👁 Alibaba Qwen 3 8B	8B	A	18.4 tok/s
👁 NVIDIA Nemotron Nano 8B	8B	A	19.5 tok/s
👁 InternLM InternVL2 8B	8B	A	19.5 tok/s
👁 Mistral Ministral 3 8B	8B	B	18.4 tok/s
👁 OpenBMB MiniCPM-V 2.6 8B	8B	B	19.5 tok/s

Frequently asked questions

See all results for GTX 1070 8GB See all hardware for Falcon 7B Instruct

URL: https://willitrunai.com/can-run/falcon-7b-instruct-on-gtx-1070-8gb