llmrun

Llama 2 70B Chat HF vs Mistral Large Instruct 2407

Mistral Large Instruct 2407 leads llmrun Score 81.1 to 50.4; neither fits 24 GB.

69.0B · Llama 2 Community · Jul 2023

Chat

122.6B · Other · Jul 2024

ChatFunctions

Which should you choose?

Choose Mistral Large Instruct 2407 if you want…

  • Higher llmrun Score

    81.1 vs 50.4

  • Stronger at reasoning

    83.1 vs 45.3

  • Ahead on the benchmarks

    5 of 5 shared boards

  • Fits a Mac 128 GB

    Q4_K_M · 86.4 GB; Llama 2 70B Chat HF needs 156.4 GB at its smallest quant

  • Also does function-calling

    Llama 2 70B Chat HF doesn't list it

  • Newer release

    Jul 2024 vs Jul 2023

Llama 2 70B Chat HF: no clear edge over Mistral Large Instruct 2407 in the data we have.

On your hardware

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

8 GB

RTX 4060 · 8 GB tier

Llama 2 70B Chat HF

Doesn't fit

smallest quant needs 156.4 GB

Mistral Large Instruct 2407

Doesn't fit

smallest quant needs 42.6 GB

12 GB

RTX 3060 12GB · 12 GB tier

Llama 2 70B Chat HF

Doesn't fit

smallest quant needs 156.4 GB

Mistral Large Instruct 2407

Doesn't fit

smallest quant needs 42.6 GB

16 GB

RTX 5060 Ti 16GB · 16 GB tier

Llama 2 70B Chat HF

Doesn't fit

smallest quant needs 156.4 GB

Mistral Large Instruct 2407

Doesn't fit

smallest quant needs 42.6 GB

24 GBreference

RTX 4090 · 24 GB tier

Llama 2 70B Chat HF

Doesn't fit

smallest quant needs 156.4 GB

Mistral Large Instruct 2407

Doesn't fit

smallest quant needs 42.6 GB

32 GB

RTX 5090 · 32 GB tier

Llama 2 70B Chat HF

Doesn't fit

smallest quant needs 156.4 GB

Mistral Large Instruct 2407

Doesn't fit

smallest quant needs 42.6 GB

48 GB

RTX A6000 · 48 GB tier

Llama 2 70B Chat HF

Doesn't fit

smallest quant needs 156.4 GB

Mistral Large Instruct 2407

IQ2_S · ~12 tok/s

47.7 GB · up to 16Kfits

Mac 32 GB

Mac Mini M4 · Macs

Llama 2 70B Chat HF

Doesn't fit

smallest quant needs 156.4 GB

Mistral Large Instruct 2407

Doesn't fit

smallest quant needs 42.6 GB

Mac 64 GB

Mac Studio M4 Max · Macs

Llama 2 70B Chat HF

Doesn't fit

smallest quant needs 156.4 GB

Mistral Large Instruct 2407

Q2_K_S · ~7 tok/s

59.5 GB · up to 16Kfits

Mac 128 GB

Mac Studio M4 Max · Macs

Llama 2 70B Chat HF

Doesn't fit

smallest quant needs 156.4 GB

Mistral Large Instruct 2407

Q4_K_M · ~5 tok/s

86.4 GB · up to 32Kfits

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

Overall

Llama 2 70B Chat HF

50.432–69

Mistral Large Instruct 2407

81.177–86

Reasoning

Llama 2 70B Chat HF

45.321–69

Mistral Large Instruct 2407

83.175–92

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

Mistral Large Instruct 2407 · #81 of 100 open models · #42 of 60 that fit ≤96 GB

Benchmarks

5 shared boards: Llama 2 70B Chat HF leads 0, Mistral Large Instruct 2407 leads 5 · Benchmarks imported Oct 2026

Llama 2 70B Chat HF

26.3%#88/98 open

IndependentEpoch AI · Jul 2023

Mistral Large Instruct 2407

49.0%#56/98 open

IndependentEpoch AI · Jul 2024

Llama 2 70B Chat HF

0.0%#86/86 open

IndependentEpoch AI · Jul 2023

Mistral Large Instruct 2407

8.5%#59/86 open

IndependentEpoch AI · Jul 2024

Llama 2 70B Chat HF

3.3%#39/39 open

IndependentEpoch AI · Jul 2023

Mistral Large Instruct 2407

44.8%#17/39 open

IndependentEpoch AI · Jul 2024

Llama 2 70B Chat HF

41.6%#68/68 open

Lab-reportedEpoch AI · Jul 2023

Mistral Large Instruct 2407

61.2%#45/68 open

Lab-reportedEpoch AI · Jul 2024

Llama 2 70B Chat HF

51.4#26/26 open

Lab-reportedEpoch AI · Jul 2023

Mistral Large Instruct 2407

57.1#20/26 open

Lab-reportedEpoch AI · Jul 2024

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

Llama 2 70B Chat HF

1170.7#161/187 open

ArenaLMArena · Oct 2026

Mistral Large Instruct 2407

1314.4#98/187 open

ArenaLMArena · Oct 2026

Llama 2 70B Chat HF

59.9%#47/85 open

Lab-reportedEpoch AI · Jul 2023

Mistral Large Instruct 2407

80.0%#11/85 open

Lab-reportedEpoch AI · Jul 2024

Only Llama 2 70B Chat HF (2)

Only Mistral Large Instruct 2407 (2)

VRAM by quantization

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

Q2_K

Llama 2 70B Chat HF

not listed

Mistral Large Instruct 2407

57.3 GB45.2 GB file

32K 69.1 GB · 128K 107 GB

Q3_K_S

Llama 2 70B Chat HF

not listed

Mistral Large Instruct 2407

59.0 GB52.8 GB file

32K 70.8 GB · 128K 109 GB

Q3_K_M

Llama 2 70B Chat HF

not listed

Mistral Large Instruct 2407

65.8 GB59.1 GB file

32K 77.6 GB · 128K 115 GB

Q4_0

Llama 2 70B Chat HF

not listed

Mistral Large Instruct 2407

67.4 GB69.1 GB file

32K 79.3 GB · 128K 117 GB

Q4_K_M

Llama 2 70B Chat HF

not listed

Mistral Large Instruct 2407

80.9 GB73.2 GB file

32K 92.7 GB · 128K 131 GB

Q5_K_M

Llama 2 70B Chat HF

not listed

Mistral Large Instruct 2407

96.1 GB86.5 GB file

32K 108 GB · 128K 146 GB

Q6_K

Llama 2 70B Chat HF

not listed

Mistral Large Instruct 2407

111 GB100.6 GB file

32K 123 GB · 128K 161 GB

Q8_0

Llama 2 70B Chat HF

not listed

Mistral Large Instruct 2407

135 GB130.3 GB file

32K 147 GB · 128K 184 GB

BF16

Llama 2 70B Chat HF

152 GB~137.9 GB file

32K 162 GB · 128K 194 GB

Mistral Large Instruct 2407

270 GB~245.2 GB file

32K 282 GB · 128K 319 GB

13 more quants

IQ2_XXS

Llama 2 70B Chat HF

not listed

Mistral Large Instruct 2407

37.1 GB32.4 GB file

32K 48.9 GB · 128K 86.7 GB

IQ2_XS

Llama 2 70B Chat HF

not listed

Mistral Large Instruct 2407

40.5 GB36.1 GB file

32K 52.3 GB · 128K 90.1 GB

IQ2_S

Llama 2 70B Chat HF

not listed

Mistral Large Instruct 2407

42.2 GB38.4 GB file

32K 54.0 GB · 128K 91.8 GB

IQ2_M

Llama 2 70B Chat HF

not listed

Mistral Large Instruct 2407

45.5 GB41.6 GB file

32K 57.3 GB · 128K 95.1 GB

IQ3_XXS

Llama 2 70B Chat HF

not listed

Mistral Large Instruct 2407

52.3 GB47.0 GB file

32K 64.1 GB · 128K 102 GB

Q2_K_S

Llama 2 70B Chat HF

not listed

Mistral Large Instruct 2407

54.0 GB41.6 GB file

32K 65.8 GB · 128K 104 GB

IQ3_XS

Llama 2 70B Chat HF

not listed

Mistral Large Instruct 2407

55.6 GB50.1 GB file

32K 67.4 GB · 128K 105 GB

IQ3_M

Llama 2 70B Chat HF

not listed

Mistral Large Instruct 2407

60.7 GB55.3 GB file

32K 72.5 GB · 128K 110 GB

Q3_K_L

Llama 2 70B Chat HF

not listed

Mistral Large Instruct 2407

69.1 GB64.6 GB file

32K 80.9 GB · 128K 119 GB

IQ4_XS

Llama 2 70B Chat HF

not listed

Mistral Large Instruct 2407

72.5 GB65.4 GB file

32K 84.3 GB · 128K 122 GB

Q4_K_S

Llama 2 70B Chat HF

not listed

Mistral Large Instruct 2407

75.9 GB69.6 GB file

32K 87.7 GB · 128K 125 GB

Q5_0

Llama 2 70B Chat HF

not listed

Mistral Large Instruct 2407

84.3 GB84.4 GB file

32K 96.1 GB · 128K 134 GB

Q5_K_S

Llama 2 70B Chat HF

not listed

Mistral Large Instruct 2407

92.7 GB84.4 GB file

32K 105 GB · 128K 142 GB

How to run each

Specifications

Specifications of Llama 2 70B Chat HF and Mistral Large Instruct 2407
SpecLlama 2 70B Chat HFMistral Large Instruct 2407
PublisherMetaMistral AI
Parameters69.0B122.6B
ModalitiesChatChat, Function-calling
LicenseLlama 2 CommunityOther
ReleasedJul 2023Jul 2024

Frequently Asked Questions

Which is better, Llama 2 70B Chat HF or Mistral Large Instruct 2407?

Mistral Large Instruct 2407 leads llmrun Score 81.1 to 50.4; neither fits 24 GB. Choose Mistral Large Instruct 2407 for higher llmrun Score and stronger at reasoning.

Can I run Llama 2 70B Chat HF or Mistral Large Instruct 2407 on a 16 GB GPU?

Llama 2 70B Chat HF does not fit (smallest quant needs 156.4 GB); Mistral Large Instruct 2407 does not fit (smallest quant needs 42.6 GB).

Llama 2 70B Chat HF vs Mistral Large Instruct 2407 — VRAM & GPU Comparison | llmrun