DeepSeek V4 Flash 0731 vs Llama 2 70B Chat HF

DeepSeek V4 Flash 0731 leads llmrun Score 127.6 to 50.4; neither fits 24 GB.

Model A · DeepSeek

DeepSeek V4 Flash 0731

127.6llmrun Score

304.2B · 27.4B active · 1M context · MIT · Jul 2026

Chat

Model B · Meta

Llama 2 70B Chat HF

50.4llmrun Score

69.0B · Llama 2 Community · Jul 2023

Chat

Which should you choose?

Choose DeepSeek V4 Flash 0731 if you want…

Higher llmrun Score
127.6 vs 50.4
Stronger at reasoning
128.7 vs 45.3
Ahead on the benchmarks
3 of 3 shared boards
More permissive license
MIT vs Llama 2 Community
Newer release
Jul 2026 vs Jul 2023

Llama 2 70B Chat HF: no clear edge over DeepSeek V4 Flash 0731 in the data we have.

On your hardware

Each model at its default quant (Q4_K_M / BF16), a smaller one when it must. Estimates, ±20%.

MemoryDeepSeek V4 Flash 0731Llama 2 70B Chat HF

8 GB

RTX 4060 · 8 GB tier

DeepSeek V4 Flash 0731

Doesn't fit

smallest quant needs 84.1 GB

Llama 2 70B Chat HF

Doesn't fit

smallest quant needs 156.4 GB

12 GB

RTX 3060 12GB · 12 GB tier

DeepSeek V4 Flash 0731

Doesn't fit

smallest quant needs 84.1 GB

Llama 2 70B Chat HF

Doesn't fit

smallest quant needs 156.4 GB

16 GB

RTX 5060 Ti 16GB · 16 GB tier

DeepSeek V4 Flash 0731

Doesn't fit

smallest quant needs 84.1 GB

Llama 2 70B Chat HF

Doesn't fit

smallest quant needs 156.4 GB

24 GBreference

RTX 4090 · 24 GB tier

DeepSeek V4 Flash 0731

Doesn't fit

smallest quant needs 84.1 GB

Llama 2 70B Chat HF

Doesn't fit

smallest quant needs 156.4 GB

32 GB

RTX 5090 · 32 GB tier

DeepSeek V4 Flash 0731

Doesn't fit

smallest quant needs 84.1 GB

Llama 2 70B Chat HF

Doesn't fit

smallest quant needs 156.4 GB

48 GB

RTX A6000 · 48 GB tier

DeepSeek V4 Flash 0731

Doesn't fit

smallest quant needs 84.1 GB

Llama 2 70B Chat HF

Doesn't fit

smallest quant needs 156.4 GB

Mac 32 GB

Mac Mini M4 · Macs

DeepSeek V4 Flash 0731

Doesn't fit

smallest quant needs 84.1 GB

Llama 2 70B Chat HF

Doesn't fit

smallest quant needs 156.4 GB

Mac 64 GB

Mac Studio M4 Max · Macs

DeepSeek V4 Flash 0731

Doesn't fit

smallest quant needs 84.1 GB

Llama 2 70B Chat HF

Doesn't fit

smallest quant needs 156.4 GB

Mac 128 GB

Mac Studio M4 Max · Macs

DeepSeek V4 Flash 0731

Q2_K_S · ~27 tok/s

122.2 GB · up to 128Kfits

Llama 2 70B Chat HF

Doesn't fit

smallest quant needs 156.4 GB

Reference GPU: RTX 4090. Tinted cell = the better pick on that machine (fits, more headroom, or at least 10% faster).

llmrun Score

with its 90% range · bars share one scale

DeepSeek V4 Flash 0731 Llama 2 70B Chat HF

Overall

DeepSeek V4 Flash 0731

127.6126–129

Llama 2 70B Chat HF

50.432–69

Coding

DeepSeek V4 Flash 0731

120.8114–127

Llama 2 70B Chat HF

no data

Math

DeepSeek V4 Flash 0731

128.1126–131

Llama 2 70B Chat HF

no data

Science

DeepSeek V4 Flash 0731

124.3112–136

Llama 2 70B Chat HF

no data

Reasoning

DeepSeek V4 Flash 0731

128.7126–132

Llama 2 70B Chat HF

45.321–69

DeepSeek V4 Flash 0731 · #7 of 100 open models · #2 of 78 that fit ≤192 GB

Llama 2 70B Chat HF · #100 of 100 open models · #78 of 78 that fit ≤192 GB

Benchmarks

3 shared boards: DeepSeek V4 Flash 0731 leads 3, Llama 2 70B Chat HF leads 0 · Benchmarks imported Oct 2026

BoardDeepSeek V4 Flash 0731Llama 2 70B Chat HF

GPQA Diamond

DeepSeek V4 Flash 0731

91.0%#4/98 open

IndependentEpoch AI · Jul 2026

Llama 2 70B Chat HF

26.3%#88/98 open

IndependentEpoch AI · Jul 2023

AIME 2024/2025

DeepSeek V4 Flash 0731

94.4%#8/86 open

IndependentEpoch AI · Jul 2026

Llama 2 70B Chat HF

0.0%#86/86 open

IndependentEpoch AI · Jul 2023

DTBench

DeepSeek V4 Flash 0731

90.9%#4/68 open

Lab-reportedEpoch AI · Jul 2026

Llama 2 70B Chat HF

41.6%#68/68 open

Lab-reportedEpoch AI · Jul 2023

24 more boards (other shared and single-model boards)

Only DeepSeek V4 Flash 0731 (18)

Only Llama 2 70B Chat HF (6)

VRAM by quantization

Memory to load the model and 2K context; below it, the total at 32K and 128K context. Lighter side in bold.

QuantDeepSeek V4 Flash 0731Llama 2 70B Chat HF

Q2_K

DeepSeek V4 Flash 0731

130 GB117.3 GB file

32K 130 GB · 128K 131 GB

Llama 2 70B Chat HF

not listed

Q3_K_M

DeepSeek V4 Flash 0731

149 GB128.1 GB file

32K 149 GB · 128K 150 GB

Llama 2 70B Chat HF

not listed

Q4_K_M

DeepSeek V4 Flash 0731

183 GB~182.5 GB file

32K 183 GB · 128K 184 GB

Llama 2 70B Chat HF

not listed

Q5_K_M

DeepSeek V4 Flash 0731

217 GB~216.7 GB file

32K 217 GB · 128K 218 GB

Llama 2 70B Chat HF

not listed

Q6_K

DeepSeek V4 Flash 0731

251 GB~250.9 GB file

32K 252 GB · 128K 253 GB

Llama 2 70B Chat HF

not listed

Q8_0

DeepSeek V4 Flash 0731

305 GB~304.2 GB file

32K 305 GB · 128K 306 GB

Llama 2 70B Chat HF

not listed

BF16

DeepSeek V4 Flash 0731

609 GB~608.4 GB file

32K 609 GB · 128K 610 GB

Llama 2 70B Chat HF

152 GB~137.9 GB file

32K 162 GB · 128K 194 GB

11 more quants

IQ2_XXS

DeepSeek V4 Flash 0731

84.0 GB90.9 GB file

32K 84.3 GB · 128K 85.4 GB

Llama 2 70B Chat HF

not listed

IQ2_XS

DeepSeek V4 Flash 0731

91.6 GB88.1 GB file

32K 91.9 GB · 128K 93.0 GB

Llama 2 70B Chat HF

not listed

IQ2_S

DeepSeek V4 Flash 0731

95.4 GB93.4 GB file

32K 95.7 GB · 128K 96.8 GB

Llama 2 70B Chat HF

not listed

IQ2_M

DeepSeek V4 Flash 0731

103 GB90.9 GB file

32K 103 GB · 128K 104 GB

Llama 2 70B Chat HF

not listed

IQ3_XXS

DeepSeek V4 Flash 0731

118 GB104.2 GB file

32K 119 GB · 128K 120 GB

Llama 2 70B Chat HF

not listed

Q2_K_S

DeepSeek V4 Flash 0731

122 GB98.6 GB file

32K 122 GB · 128K 123 GB

Llama 2 70B Chat HF

not listed

IQ3_XS

DeepSeek V4 Flash 0731

126 GB118.2 GB file

32K 126 GB · 128K 127 GB

Llama 2 70B Chat HF

not listed

IQ3_S

DeepSeek V4 Flash 0731

130 GB116.1 GB file

32K 130 GB · 128K 131 GB

Llama 2 70B Chat HF

not listed

IQ3_M

DeepSeek V4 Flash 0731

137 GB135.8 GB file

32K 138 GB · 128K 139 GB

Llama 2 70B Chat HF

not listed

IQ4_XS

DeepSeek V4 Flash 0731

164 GB136.7 GB file

32K 164 GB · 128K 165 GB

Llama 2 70B Chat HF

not listed

IQ4_NL

DeepSeek V4 Flash 0731

171 GB136.7 GB file

32K 172 GB · 128K 173 GB

Llama 2 70B Chat HF

not listed

How to run each

DeepSeek V4 Flash 0731

Ollama · Q4_K_M

$ollama run hf.co/unsloth/DeepSeek-V4-Flash-0731-GGUF

All ways to run DeepSeek V4 Flash 0731 →

Llama 2 70B Chat HF

No local recipe · BF16

No GGUF repo entry exists for this model yet.

All ways to run Llama 2 70B Chat HF →

Specifications

Specifications of DeepSeek V4 Flash 0731 and Llama 2 70B Chat HF
Spec	DeepSeek V4 Flash 0731	Llama 2 70B Chat HF
Publisher	DeepSeek	Meta
Parameters	304.2B	69.0B
Active parameters	27B per token	—
Architecture	DeepseekV4ForCausalLM	—
Context	1M tokens	—
Modalities	Chat	Chat
License	MIT	Llama 2 Community
Released	Jul 2026	Jul 2023

Frequently Asked Questions

Which is better, DeepSeek V4 Flash 0731 or Llama 2 70B Chat HF?

DeepSeek V4 Flash 0731 leads llmrun Score 127.6 to 50.4; neither fits 24 GB. Choose DeepSeek V4 Flash 0731 for higher llmrun Score and stronger at reasoning.

Can I run DeepSeek V4 Flash 0731 or Llama 2 70B Chat HF on a 16 GB GPU?

DeepSeek V4 Flash 0731 does not fit (smallest quant needs 84.1 GB); Llama 2 70B Chat HF does not fit (smallest quant needs 156.4 GB).