FitMyLLM
▸ AMD· TERASCALE 2

AMD Radeon HD 6770 Green Edition

Running LLMs on the Radeon HD 6770 Green Edition — the long read: which models fit at which quantisation, and the settings worth changing. · Or what a budget buys

VRAM
2 GB
BUDGET
BANDWIDTH
21
GB/S
MODELS Q4
47/449
10%
7B Q4 SPEED
~3
SLOW
▸ MODEL COVERAGE @ Q410% OF ALL
▸ ESTIMATED SPEED· BY MODEL SIZE @ Q4

Average speeds at Q4 quantization. Actual performance varies by model architecture and context length.

3B
—
1.7GB NEEDED
7B
—
3.9GB NEEDED
14B
—
7.9GB NEEDED
32B
—
18.0GB NEEDED
70B
—
39.4GB NEEDED
▸ MEASURED RIG REPORTS

We rent the machine and time every model on it: decode, VRAM peak, concurrency, watts and cost per million tokens. Yours may already be one of them — and two are free to read in full.

SEE THE REPORTS →
▸ SPECIFICATIONS
VRAM
2 GB
BANDWIDTH
21 GB/s
FP16 COMPUTE
1 TFLOPS
TDP
86W
MEMORY
GDDR3
ARCHITECTURE
TeraScale 2
STREAM PROCESSORS
720
COMPUTE UNITS
11
PCIE
Gen 2 x16
22
FAST MODELS · >30 TOK/S
Real-time chat speed
47
USABLE · >10 TOK/S
Comfortable for all tasks
47
TOTAL COMPATIBLE
Fit in VRAM at Q4
▸ DON’T WANT TO BUY?

Test Radeon HD 6770 Green Edition (or anything bigger) without committing. Pay by the second, cancel anytime.

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▸ COMPATIBLE MODELS· 47
S
Falcon-H1R Tiny 90M0.09B
FALCON·256K CTX· CHAT· REASONING
207
TOK/S · 27% VRAM
›
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
138
TOK/S · 29% VRAM
›
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
133
TOK/S · 29% VRAM
›
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
133
TOK/S · 29% VRAM
›
S
SmolVLM 256M0.256B
SMOLLM·8K CTX· CHAT· VISION
73
TOK/S · 32% VRAM
›
S
Gemma 3 270M0.27B
GEMMA·32K CTX· CHAT
69
TOK/S · 33% VRAM
›
S
Snowflake Arctic Embed M v2.00.305B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
61
TOK/S · 34% VRAM
›
A
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
56
TOK/S · 35% VRAM
›
A
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
56
TOK/S · 35% VRAM
›
A
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
56
TOK/S · 35% VRAM
›
A
LFM2 350M0.35B
LFM·125K CTX· CHAT· TOOL_USE
53
TOK/S · 35% VRAM
›
A
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
52
TOK/S · 35% VRAM
›
A
GPT-2 Medium 345M0.38B
GPT2·1K CTX· CHAT
49
TOK/S · 36% VRAM
›
B
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
37
TOK/S · 40% VRAM
›
B
SmolVLM 500M0.5B
SMOLLM·8K CTX· CHAT· VISION
37
TOK/S · 40% VRAM
›
B
Falcon-H1 0.5B0.52B
FALCON·128K CTX· CHAT
36
TOK/S · 40% VRAM
›
B
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
33
TOK/S · 42% VRAM
›
B
Snowflake Arctic Embed L v2.00.568B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
33
TOK/S · 42% VRAM
›
B
Qwen3-Embedding 0.6B0.6B
EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL
31
TOK/S · 43% VRAM
›
B
Falcon-H1R Tiny 0.6B0.6B
FALCON·32K CTX· CHAT· REASONING
31
TOK/S · 43% VRAM
›
B
Falcon Perception 0.6B0.6B
FALCON·4K CTX· VISION
31
TOK/S · 43% VRAM
›
B
Qwen 1.5 0.5B0.62B
QWEN·32K CTX· CHAT
30
TOK/S · 43% VRAM
›
B
Qwen3 0.6B0.75B
QWEN·32K CTX· CHAT· REASONING
25
TOK/S · 47% VRAM
›
B
LFM2 700M0.74B
LFM·125K CTX· CHAT· TOOL_USE
25
TOK/S · 47% VRAM
›
C
GPT-2 Large 774M0.81B
GPT2·1K CTX· CHAT
23
TOK/S · 49% VRAM
›
C
Qwen 3.5 0.8B0.87B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
21
TOK/S · 51% VRAM
›
C
InternVL3 1B0.94B
OTHER·32K CTX· CHAT· VISION
20
TOK/S · 53% VRAM
›
C
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
17
TOK/S · 58% VRAM
›
C
MiniCPM5 1B1.08B
MINICPM·128K CTX· CHAT· REASONING· MULTILINGUAL
17
TOK/S · 57% VRAM
›
C
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
16
TOK/S · 61% VRAM
›
C
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
16
TOK/S · 61% VRAM
›
C
LFM2 1.2B1.2B
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
16
TOK/S · 61% VRAM
›
C
Zamba2 1.2B1.2B
OTHER·4K CTX· CHAT
16
TOK/S · 61% VRAM
›
D
DeepSeek Coder 1.3B1.35B
DEEPSEEK·16K CTX· CODING
14
TOK/S · 66% VRAM
›
D
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
14
TOK/S · 64% VRAM
›
D
OPT 1.3B1.3B
OPT·2K CTX· CHAT
14
TOK/S · 64% VRAM
›
D
MiniCPM-V 4.61.3B
OTHER·256K CTX· CHAT· VISION
14
TOK/S · 64% VRAM
›
D
Phi-1 1.3B1.42B
PHI·2K CTX· CODING
13
TOK/S · 68% VRAM
›
D
Phi-1.5 1.3B1.42B
PHI·2K CTX· CHAT· CODING
13
TOK/S · 68% VRAM
›
D
GPT-2 XL 1.5B1.61B
GPT2·1K CTX· CHAT
12
TOK/S · 74% VRAM
›
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your Radeon HD 6770 Green Edition.

WHAT THIS CARD IS WORTH

Radeon HD 6770 Green Edition holds 47 of the models in our catalogue and is, in practice, a Q4_K_M card — the largest it takes is Moondream2 1.9B at Q4_K_M.

TOKENS/SEC PER $100
—
8B at Q4_K_M, so cards compare like for like
VRAM PER $100
—
what memory costs on this card
THE BIGGEST IT TAKES
Moondream2 1.9B1.9B · Q4_K_M1.7 GB6 tok/sEST
Falcon3-1B1.67B · Q5_K_M1.8 GB6 tok/sEST
LFM2-VL 1.6B1.6B · Q5_K_M1.7 GB6 tok/sEST
Falcon-H1 1.5B1.55B · Q6_K1.7 GB6 tok/sEST
Qwen2.5-Coder-1.5B1.5B · Q6_K1.6 GB6 tok/sEST
Qwen2 Math 1.5B1.5B · Q6_K1.6 GB6 tok/sEST
Qwen 2.5 1.5B1.5B · Q6_K1.6 GB6 tok/sEST
Stella en 1.5B v51.5B · Q6_K1.6 GB6 tok/sEST
AGAINST CARDS OF SIMILAR MEMORY
M2 (8GB)5 GB$5992.8 tok/s per $100
M3 (8GB)5 GB$5992.8 tok/s per $100
M1 (8GB)5 GB$4992.2 tok/s per $100
RTX 2060 6GB6 GB$15026.7 tok/s per $100
Radeon HD 6770 Green Edition2 GB——

Neighbours in memory rather than in price: memory decides whether a card can do the job at all, so two cards of the same size at different prices is the comparison you are making. Ordered by memory, then bandwidth — not by the value column, which is worked out from bandwidth and price alone and therefore rewards a cheap card whatever its software stack does to that bandwidth in practice. Read it as one input, not as a ranking.

▸ DEVICE UNDER TEST

AMD Radeon HD 6770 Green Edition — 2 GB VRAM.

▸ RADEON HD 6770 GREEN EDITION SPEC
BRAND
AMD
VRAM
2 GB GDDR3
BANDWIDTH
21 GB/s
FP16 COMPUTE
1 TFLOPS
FP32 COMPUTE
1 TFLOPS
STREAM PROCESSORS
720
TDP
86 W
ARCHITECTURE
TeraScale 2
▸ AI CAPABILITY
47/ 449 models @ Q4

With 2 GB VRAM and 21 GB/s bandwidth, this GPU handles models up to 1.61B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~2 tok/s.

§ 01TOP MODELS FOR RADEON HD 6770 GREEN EDITION
47 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
GPT-2 XL 1.5B1.61B1.5 GB125.1
stablelm-2-1_6b1.6B1.5 GB129.5
Falcon-H1 1.5B1.55B1.4 GB1243.8
Qwen2.5-Coder-1.5B1.5B1.4 GB1219.6
Qwen2 Math 1.5B1.5B1.4 GB1219.6
Qwen 2.5 1.5B1.5B1.4 GB1230.2
Yi Coder 1.5B1.5B1.4 GB1214.6
Stella en 1.5B v51.5B1.4 GB12—
Phi-1 1.3B1.42B1.4 GB137.2
Phi-1.5 1.3B1.42B1.4 GB137.2
DeepSeek Coder 1.3B1.35B1.3 GB1416.8
EXAONE-4.0-1.2B1.3B1.3 GB1418.9
OPT 1.3B1.3B1.3 GB145.3
MiniCPM-V 4.61.3B1.3 GB1421.5
LFM2.5-1.2B-Thinking1.2B1.2 GB1619.6
Llama-3.2-1B1.2B1.2 GB1610.1
LFM2 1.2B1.2B1.2 GB1615.6
Zamba2 1.2B1.2B1.2 GB1641.5
TinyLlama 1.1B1.1B1.2 GB1713.6
MiniCPM5 1B1.08B1.1 GB1726.5