Key Specifications

Vendorother
Versionopenchat-3-5-1210
Release Date2023-12-10
Context Window8192 tokens
Input Modalitiestext
Output Modalitiestext
LicenseApache 2.0
Documentationhttps://huggingface.co/models

Benchmark Performance

Benchmark Score Unit Evaluated At Notes Source
MMLU 70.5 % 2023-12-10 5-shot view
HUMANEVAL 41.9 pass@1 2023-12-10 view
GSM8K 55 % 2023-12-10 0-shot CoT view
MATH 15.2 % 2023-12-10 0-shot CoT view
BBH 60.4 % 2023-12-10 3-shot CoT view
GPQA 20.9 % 2023-12-10 0-shot view
IFEVAL 50.4 % 2023-12-10 prompt_strict view
ARC 88.1 % 2023-12-10 challenge view
MUSR 32.6 % 2023-12-10 0-shot view
WINOGRANDE 69.3 % 2023-12-10 0-shot view

Pricing

Tier Price Currency
Input$0.18 / MtokUSD
Output$0.18 / MtokUSD
Cache Read$0 / MtokUSD
Cache Write$0 / MtokUSD

Source: https://huggingface.co/models · as of 2023-12-10

Compliance

  • Data Residency: self-host
  • SOC2: ✗
  • HIPAA: ✗
  • GDPR: ✗
  • ISO 27001: ✗

OpenChat 3.5 1210

Model Overview

OpenChat 3.5 1210 对话模型, 8K 上下文, 基于 Mistral 7B C-RLFT 微调, 性能超越 ChatGPT 3.5。

Core Specifications

Vendor Version Release Date Context Window Input Modalities Output Modalities License
Other openchat-3-5-1210 2023-12-10 8K text text Apache 2.0

Benchmark Performance

Benchmark Score Unit Notes
MMLU (Massive Multitask Language Understanding) 70.5 % 5-shot
HumanEval 41.9 pass@1
GSM8K (Grade School Math 8K) 55.0 % 0-shot CoT
MATH 15.2 % 0-shot CoT
BBH (BIG-Bench Hard) 60.4 % 3-shot CoT
GPQA 20.9 % 0-shot
IFEval 50.4 % prompt_strict
ARC 88.1 % challenge
MUSR 32.6 % 0-shot
WinoGrande 69.3 % 0-shot

Pricing

Input Output Cache Read Cache Write

per million tokens

Strengths

  • Reliable general-purpose model.

Weaknesses

  • HumanEval 41.9, coding weak.
  • Proprietary, not self-hostable.
  • Context window 8K is limited.

Use Cases

  • General chat and Q&A

References