DeepSeek-R1-Distill-Llama-8B
About DeepSeek-R1-Distill-Llama-8B
DeepSeek-R1-Distill-Llama-8B is a distilled model based on Llama-3.1-8B. The model was fine-tuned using samples generated by DeepSeek-R1 and demonstrates strong reasoning capabilities. It achieved notable results across various benchmarks, including 89.1% accuracy on MATH-500, 50.4% pass rate on AIME 2024, and a rating of 1205 on CodeForces, showing impressive mathematical and programming abilities for an 8B-scale model
Metadata
Specification
State
Deprecated
Architecture
Calibrated
No
Mixture of Experts
No
Total Parameters
8B
Activated Parameters
Reasoning
No
Precision
FP8
Context length
33K
Max Tokens
Compare with Other Models
See how this model stacks up against others.
DeepSeek
chat
DeepSeek-V3.2
Total Context:
164K
Max output:
164K
Input:
$
0.27
/ M Tokens
Output:
$
0.42
/ M Tokens
DeepSeek
chat
DeepSeek-V3.2-Exp
Total Context:
164K
Max output:
164K
Input:
$
0.27
/ M Tokens
Output:
$
0.41
/ M Tokens
DeepSeek
chat
DeepSeek-V3.1-Terminus
Total Context:
164K
Max output:
164K
Input:
$
0.27
/ M Tokens
Output:
$
1.0
/ M Tokens
DeepSeek
chat
DeepSeek-V3.1
Total Context:
164K
Max output:
164K
Input:
$
0.27
/ M Tokens
Output:
$
1.0
/ M Tokens
DeepSeek
chat
DeepSeek-V3
Total Context:
164K
Max output:
164K
Input:
$
0.25
/ M Tokens
Output:
$
1.0
/ M Tokens
DeepSeek
chat
DeepSeek-R1
Total Context:
164K
Max output:
164K
Input:
$
0.5
/ M Tokens
Output:
$
2.18
/ M Tokens
DeepSeek
chat
DeepSeek-R1-Distill-Qwen-32B
Total Context:
131K
Max output:
131K
Input:
$
0.18
/ M Tokens
Output:
$
0.18
/ M Tokens
DeepSeek
chat
DeepSeek-R1-Distill-Qwen-14B
Total Context:
131K
Max output:
131K
Input:
$
0.1
/ M Tokens
Output:
$
0.1
/ M Tokens
DeepSeek
chat
DeepSeek-R1-Distill-Qwen-7B
Total Context:
33K
Max output:
16K
Input:
$
0.05
/ M Tokens
Output:
$
0.05
/ M Tokens
