LLM Reference

Dolphin 2.9.2 Qwen2-72B

Released
2024-05-27
Last refreshed
2026-05-01
Status
Researched 34d ago
Open SourceRAGAgentsLong contextJSON / Tool use

Dolphin 2.9.2 Qwen2-72B is worth evaluating for rag, agents, and long context when its provider route and context window match the workload.

Use it for

  • Teams evaluating rag, agents, and long context
  • Workloads that can use a 128k context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Vision or document-understanding workloads
Specifications
Family
Dolphin
Released
2024-05-27
Context
128k
Parameters
72B
Architecture
Decoder Only
Specialization
general
Training
finetuned
Created by

Uncensored AI models for open access

N/A
Founded N/A
Website
Pricing
Output / 1M
$0.900
Input / 1M
$0.900

Cheapest of 1 route · Fireworks AI

About

Dolphin 2.9.2 Qwen2-72B is Cognitive Computations' uncensored full-weight fine-tune of Qwen2-72B. The model card documents ChatML formatting, initial agentic abilities, and function calling support; it also notes the Qwen2 base has a 128K context window while the fine-tune used 8K training sequences. Because Dolphin removes much of the usual alignment filtering, deployments should add their own moderation and policy layer before exposing it as a public service.

Dolphin 2.9.2 Qwen2-72B is an open-source model in the Dolphin family. The structured metadata tracks a 128k-token context window, function calling, and tool use. This page tracks provider routes through Fireworks AI, with the cheapest tracked route listed at $0.9 input and $0.9 output per 1M tokens. No headline benchmark score is tracked for Dolphin 2.9.2 Qwen2-72B yet.

Top use-case fit: coding, agents, and build tasks

RAG

Included by capability and metadata signals in the decision map.

Agents

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
Fireworks AI$0.900$0.900
Provisioned

Capabilities

Function CallingTool Use

Benchmark peer barsfor RAG

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

Rankings & picks(10)