LLM Reference

Phind CodeLlama 34B V2

Released
2023-08-24
Last refreshed
2026-05-11
Status
Researched 46d ago
Open SourceClassificationJSON / Tool use

Phind CodeLlama 34B V2 is worth evaluating for classification and json / tool use when its provider route and context window match the workload.

Use it for

  • Teams evaluating classification and json / tool use
  • Workloads that can use a 8k context window
  • Buyers comparing 3 tracked provider routes

Do not use it for

  • Vision or document-understanding workloads
Specifications
Released
2023-08-24
Context
8k
Parameters
34B
Architecture
Decoder Only
Knowledge cutoff
2024-03
Specialization
general
Training
finetuned
Created by

Instant AI code search and answers

San Francisco, California, United States
Founded 2022
Website
Pricing
Output / 1M
$0.450
Input / 1M
$0.200

Cheapest of 3 routes · DeepInfra

About

Phind CodeLlama 34B v2 is a large language model designed specifically for code generation tasks, built on the CodeLlama architecture. It generates high-quality code in multiple programming languages such as Python, C/C++, TypeScript, and Java, and is instruction-tuned for enhanced usability. The model demonstrates strong benchmark performance, achieving a 73.8% pass@1 score on the HumanEval benchmark. It has been fine-tuned on a proprietary dataset of 1.5 billion tokens, focusing on instruction-answer pairs. Additionally, it showcases multi-lingual capabilities beyond programming languages and offers various quantized versions like GPTQ and GGUF for optimized performance and reduced memory usage. Despite its impressive features, thorough testing is advised prior to real-world deployment, as its testing has been limited so far 1 2 7.

Phind CodeLlama 34B V2 is an open-source model in the Phind CodeLlama family. The structured metadata tracks a 8k-token context window and structured outputs. This page tracks provider routes through DeepInfra, Together AI, and Fireworks AI, with the cheapest tracked route listed at $0.2 input and $0.45 output per 1M tokens. No headline benchmark score is tracked for Phind CodeLlama 34B V2 yet.

Top use-case fit

Classification

Included by capability and metadata signals in the decision map.

JSON / Tool use

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare all 3

Compare API pricing across 3 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
DeepInfra$0.200$0.450
Serverless
Together AI$0.800$0.800
Serverless
Fireworks AI$0.900$0.900
Provisioned

Capabilities

Structured Outputs

Benchmark peer barsfor Classification

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(7)